{"id":"W4214502235","doi":"10.23919/jcc.2022.9722765","title":"Front cover","year":2022,"lang":"en","type":"paratext","venue":"China Communications","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Front cover; Front (military); Cover (algebra); Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002536543,0.001743986,0.0008862599,0.002282373,0.002505147,0.004972703,0.0008254109,0.003187219,0.9165067],"category_scores_gemma":[0.001125782,0.0005072859,0.0006760973,0.001994287,0.0008725114,0.001797037,0.001882047,0.001979763,0.9050682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218922,"about_ca_system_score_gemma":0.001267826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005200016,"about_ca_topic_score_gemma":0.00877287,"domain_scores_codex":[0.9997044,0.00002889025,0.000007206641,0.000062372,0.0001330463,0.00006419375],"domain_scores_gemma":[0.9994191,0.00007530137,0.00002986975,0.00007733774,0.0001825141,0.0002158026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004056042,0.00004098889,0.00008091296,0.0001079704,0.000003163568,0.00005779473,0.00001611326,0.00009392164,0.0004672598,0.002019058,0.94792,0.04915218],"study_design_scores_gemma":[0.00002041005,0.0000322988,0.0006259949,0.00008126775,0.000002967481,0.00003595379,0.00003750734,0.0001828576,0.0002500999,0.0009023895,0.9978218,0.000006456397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003308601,0.0002210755,0.0002057722,0.0005106526,0.001161971,0.00008647802,0.001339155,0.000579913,0.995564],"genre_scores_gemma":[0.0004617127,0.0001002804,0.00004130255,0.0001568387,0.0001338075,0.00001539835,0.0003724351,0.00009343175,0.9986249],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08349329,"threshold_uncertainty_score":0.1190931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04590882514356498,"score_gpt":0.3304447281375013,"score_spread":0.2845359029939363,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}