{"meta":{"query_hash":"6352a95a679c","filters":{"venue":"Journal of Sport and Leisure Studies"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/6352a95a679c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Sport+and+Leisure+Studies"},"results":[{"id":"W4310008793","doi":"10.51979/kssls.2022.10.90.309","title":"Home Training Development Trend Analysis in Period of COVID-19 By Using Big Data","year":2022,"lang":"en","type":"article","venue":"Journal of Sport and Leisure Studies","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":1,"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":"","keywords":"Centrality; Quarter (Canadian coin); Training (meteorology); Coronavirus disease 2019 (COVID-19); Period (music); Social network analysis; Computer science; Psychology; Geography; Statistics; Medicine; World Wide Web; Mathematics","score_opus":0.41539038503271,"score_gpt":0.43133739242066904,"score_spread":0.015947007387959067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310008793","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":[0.9583987,0.000536669,0.0034552908,0.00045580746,0.00012098781,0.00013458708,0.031516407,0.000103536906,0.0052779852],"genre_scores_gemma":[0.9651407,0.0002712183,0.0040523238,0.00006505033,0.00006997662,0.00028788447,0.028772421,0.000024904717,0.0013156603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991893,0.000120409866,0.00013441533,0.00016765726,0.00026294918,0.00012526772],"domain_scores_gemma":[0.9970943,0.0009921101,0.0007684894,0.00017800434,0.0007686678,0.00019842164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009543511,0.00023379407,0.00030635434,0.004670903,0.00039130324,0.0008561197,0.0002623874,0.00023331042,0.0017440253],"category_scores_gemma":[0.0033479307,0.00010796655,0.00044002282,0.005784989,0.00018108178,0.000713663,0.0007132551,0.00038953943,0.00035090194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036859774,0.00013477339,0.9277349,0.0004024592,0.00013202529,0.00036235803,0.0013982283,0.001308088,0.001613805,0.0010346604,0.008357117,0.057152987],"study_design_scores_gemma":[0.0000049517453,0.00008581775,0.9818396,0.00008765326,0.000042442854,0.00011388862,0.0032320432,0.003900887,0.00095395895,0.00023658866,0.009483486,0.000018644187],"about_ca_topic_score_codex":0.015352735,"about_ca_topic_score_gemma":0.020579783,"teacher_disagreement_score":0.015352735,"about_ca_system_score_codex":0.0009105049,"about_ca_system_score_gemma":0.00077594357,"threshold_uncertainty_score":0.030526698},"labels":[],"label_agreement":null}]}