{"id":"W4413491730","doi":"10.1007/978-3-031-97788-6_12","title":"Concept Model","year":2025,"lang":"en","type":"book-chapter","venue":"Health information technology standards","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001293583,0.001129493,0.0004828309,0.003447195,0.001054994,0.004240109,0.001975419,0.001279161,0.04749677],"category_scores_gemma":[0.004344302,0.0003872257,0.001444307,0.002871657,0.001152168,0.006962899,0.001834628,0.001856742,0.01441142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006509,"about_ca_system_score_gemma":0.002827419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009234875,"about_ca_topic_score_gemma":0.00676067,"domain_scores_codex":[0.9979863,0.0004047012,0.000146872,0.0006208953,0.0006915311,0.0001495937],"domain_scores_gemma":[0.9988788,0.0004151064,0.00005243719,0.0001879057,0.0003988452,0.00006694338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006573129,0.0000748434,0.0005104502,0.0002662831,0.00004135508,0.0003001137,0.0003383123,0.002985043,0.0007423126,0.8451174,0.04458675,0.1049715],"study_design_scores_gemma":[0.00004698643,0.00003247673,0.0002696716,0.0001822135,0.00007133377,0.0005595383,0.0002992648,0.01974458,0.001502002,0.4703917,0.5068696,0.00003076105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007874974,0.002096553,0.6909702,0.007040703,0.001265777,0.001314925,0.02379815,0.003192822,0.262446],"genre_scores_gemma":[0.1681067,0.003668539,0.5874608,0.003031808,0.0006241076,0.002386679,0.04604574,0.0007114829,0.1879642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04749677,"threshold_uncertainty_score":0.1588925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194462193414257,"score_gpt":0.3039783684303874,"score_spread":0.2920337464962449,"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."}}