{"id":"W4243324895","doi":"10.1088/1742-6596/1767/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Presentation (obstetrics); Theme (computing); Analytics; Panel discussion; Track (disk drive); Computer science; Library science; Medical education; Medicine; World Wide Web; Data science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001825462,0.001170323,0.0009360148,0.002756264,0.003409582,0.005496167,0.001817944,0.001825917,0.529191],"category_scores_gemma":[0.01077376,0.00041804,0.0007635978,0.002290299,0.0008388343,0.004054548,0.00292501,0.003521221,0.3829621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002387655,"about_ca_system_score_gemma":0.003298211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003828237,"about_ca_topic_score_gemma":0.004199934,"domain_scores_codex":[0.9985633,0.0002107911,0.0001132156,0.0003027048,0.0006459452,0.00016403],"domain_scores_gemma":[0.9947083,0.0007315262,0.0001999677,0.0004959739,0.002949299,0.0009150114],"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":[0.0000375529,0.00002266273,0.0001395854,0.0001184483,0.000002343951,0.00006052496,0.000141992,0.00006238219,0.0001280938,0.004935732,0.9557087,0.03864194],"study_design_scores_gemma":[0.000003324108,0.0000162409,0.0002245475,0.00009666781,0.000001238526,0.00006564493,0.0001390908,0.00002542573,0.00005354535,0.001463597,0.9979063,0.000004419042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002204856,0.009315457,0.007126399,0.03089651,0.122409,0.0007983237,0.01563821,0.00232341,0.8092878],"genre_scores_gemma":[0.008919459,0.006076212,0.003684379,0.007041594,0.01613918,0.000430621,0.01476452,0.001096687,0.9418474],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.470809,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2135920012866684,"score_gpt":0.4723467402622782,"score_spread":0.2587547389756098,"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."}}