{"id":"W4295916119","doi":"10.25071/1708-6701.40425","title":"CAML members reflect (3)","year":2021,"lang":"fr","type":"article","venue":"CAML Review / Revue de l ACBM","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01091352,0.001132872,0.000814693,0.003981413,0.003088714,0.01147066,0.002857829,0.007217277,0.5859939],"category_scores_gemma":[0.04051939,0.0006572019,0.001079394,0.003959281,0.001401077,0.005148223,0.00721465,0.003820905,0.5954089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004077082,"about_ca_system_score_gemma":0.01095408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328916,"about_ca_topic_score_gemma":0.0363327,"domain_scores_codex":[0.9921396,0.001375085,0.000367655,0.0008186713,0.004195259,0.001103678],"domain_scores_gemma":[0.9698963,0.003624446,0.00149464,0.003303073,0.0126984,0.0089832],"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":[0.000008441881,0.000004248834,0.00006590818,0.00003086198,7.271621e-7,0.000006131269,0.00002432891,0.000002544793,0.00004275598,0.001193281,0.9872163,0.01140441],"study_design_scores_gemma":[0.00000351622,0.000002118628,0.000109235,0.00003734829,0.00000115804,0.00000744043,0.00002947789,0.000008042699,0.00002536129,0.0002932308,0.9994809,0.00000224147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0005493967,0.002579461,0.002591356,0.1293387,0.04480939,0.0004237739,0.01382688,0.004610161,0.8012708],"genre_scores_gemma":[0.001953707,0.001218473,0.002558649,0.0274644,0.005474752,0.0005687653,0.008272694,0.001469574,0.9510189],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5859939,"threshold_uncertainty_score":0.5905294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542008628059269,"score_gpt":0.3199840549321165,"score_spread":0.2945639686515238,"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."}}