{"meta":{"query_hash":"8b9c642e348e","filters":{"venue":"International Journal of Biology and Genetics"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8b9c642e348e","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Biology+and+Genetics"},"results":[{"id":"W3162148190","doi":"10.31829/2692-4242/biogen2020-3(1)-109","title":"The Forecast of The Number of Inbound Tourists and The Analysis of The Source Market During The Epidemic of Coronavirus Disease","year":2020,"lang":"en","type":"article","venue":"International Journal of Biology and Genetics","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hubei University; Hubei University of Technology","keywords":"Tourism; Markov chain; Econometrics; Order (exchange); Business; Computer science; Operations research; Economics; Statistics; Geography; Mathematics","score_opus":0.05548839037648869,"score_gpt":0.392103972528415,"score_spread":0.33661558215192633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162148190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678408,0.00027719437,0.028267257,0.00034885667,0.00003860952,0.000016312168,0.0005503339,0.00010659017,0.0025540187],"genre_scores_gemma":[0.9975811,0.000120042845,0.0012548773,0.000011277374,0.0000082427905,0.0000060165094,0.0003260073,0.000004853216,0.00068746257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999062,0.000013579171,0.0000045460674,0.000025383437,0.000023337308,0.000026915288],"domain_scores_gemma":[0.99979967,0.000057453144,0.000037935948,0.000010247889,0.000064995555,0.000029800498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030667492,0.00038604278,0.00027785025,0.0006251748,0.00018160034,0.00052123197,0.00044025443,0.00046282104,0.00091752195],"category_scores_gemma":[0.0009024084,0.00015043566,0.00052006496,0.00046166964,0.00016928965,0.00076471997,0.00031774226,0.00035743124,0.00013896676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020020452,0.00008456747,0.1802509,0.00009214744,0.00009563267,0.0005317306,0.00024194595,0.7799301,0.0050004898,0.005351967,0.0029616668,0.025258627],"study_design_scores_gemma":[0.0000016578175,0.000010664035,0.015405299,0.000002837329,0.000007630812,0.000009462193,0.000055193254,0.9836467,0.00019938161,0.00052420207,0.0001315667,0.0000053126505],"about_ca_topic_score_codex":0.039749525,"about_ca_topic_score_gemma":0.019025564,"teacher_disagreement_score":0.039749525,"about_ca_system_score_codex":0.00055025617,"about_ca_system_score_gemma":0.00039481246,"threshold_uncertainty_score":0.079036355},"labels":[],"label_agreement":null},{"id":"W4234315105","doi":"10.31829/2692-4242/biogen2020-3(1)-107","title":"On the Enterprise Dynamic Management in the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"International Journal of Biology and Genetics","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hubei University; Hubei University of Technology","keywords":"Tourism; China; Quarter (Canadian coin); Business; Government (linguistics); Coronavirus disease 2019 (COVID-19); Pandemic; Economy; Economics; Economic growth; Geography","score_opus":0.06633774626025994,"score_gpt":0.41893718359357834,"score_spread":0.3525994373333184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234315105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4588595,0.021477778,0.059225973,0.16062015,0.0022729633,0.00030418814,0.00027647679,0.0002938472,0.2966691],"genre_scores_gemma":[0.97486943,0.005975946,0.004291837,0.0028769933,0.0003394318,0.00005308047,0.00007322394,0.000024196324,0.0114958035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988702,0.00045092532,0.000031368854,0.00014685211,0.00016877205,0.00033191772],"domain_scores_gemma":[0.9991511,0.0002296254,0.00010372814,0.000042988115,0.00016153607,0.0003110641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019491824,0.00025142785,0.00022031399,0.0007789644,0.0027495958,0.0055248328,0.00070926273,0.0019233596,0.0033210167],"category_scores_gemma":[0.0018966383,0.00016739589,0.00040402095,0.00084817933,0.0028147306,0.0057023405,0.0029722827,0.0014691176,0.00040466528],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023526241,0.000330796,0.049695723,0.0004833553,0.000067972614,0.002963119,0.016890382,0.017911756,0.0024140952,0.6836582,0.06547876,0.15987062],"study_design_scores_gemma":[0.00004192676,0.00035057473,0.04680265,0.00086619996,0.00011612506,0.0010196106,0.09317161,0.10430584,0.0015038984,0.40368405,0.34793225,0.00020518053],"about_ca_topic_score_codex":0.011614899,"about_ca_topic_score_gemma":0.013102915,"teacher_disagreement_score":0.011614899,"about_ca_system_score_codex":0.003505612,"about_ca_system_score_gemma":0.0034608853,"threshold_uncertainty_score":0.02543515},"labels":[],"label_agreement":null}]}