{"id":"W6926239761","doi":"10.24443/usi-arc-bib_fcor.2994","title":"Montréal","year":2022,"lang":"fr","type":"other","venue":"USI-Biblioteca","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001959484,0.0006070522,0.0005182173,0.0007854831,0.0003281806,0.00007697413,0.0006271222,0.0006582121,0.02690088],"category_scores_gemma":[0.00005451182,0.0006535361,0.0003740393,0.0009268117,0.0002084286,6.636805e-7,0.001173832,0.0004198646,0.000609379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007958448,"about_ca_system_score_gemma":0.0001978131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006963519,"about_ca_topic_score_gemma":0.0009961494,"domain_scores_codex":[0.9975778,0.0001369583,0.0003947093,0.0009374957,0.0002872678,0.0006657098],"domain_scores_gemma":[0.9985039,0.0000262861,0.0002495669,0.0009567507,0.00007677631,0.0001867263],"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":[0.0001196257,0.0003215026,0.003259454,0.0001780955,0.001312614,0.00007986912,0.0002343356,0.0004813004,0.1269559,0.00230649,0.8332548,0.03149604],"study_design_scores_gemma":[0.0006012888,0.0004670361,0.00232955,0.0000202674,0.0001356065,0.00004575893,0.0001279643,0.00003382562,0.002423539,0.0001842983,0.9929092,0.0007216604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04275893,0.2449121,0.000199662,0.002613959,0.00297468,0.0007311292,0.0006775634,0.00001907193,0.7051129],"genre_scores_gemma":[0.08671089,0.0663024,0.001618013,0.001809079,0.00324327,0.000161928,0.0003683286,0.0005689346,0.8392171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1786097,"threshold_uncertainty_score":0.9995916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007684465680762365,"score_gpt":0.209865680456667,"score_spread":0.2021812147759046,"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."}}