{"id":"W6946086610","doi":"10.34847/nkl.50c375jz","title":"Dans les rues de Montréal","year":2019,"lang":"fr","type":"other","venue":"NAKALA","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Product (mathematics); Table (database); Context (archaeology); Identification (biology)","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":[0.0001550867,0.0003691677,0.000362065,0.00008967184,0.00005581649,0.0000463173,0.0004131906,0.0009362313,0.001479826],"category_scores_gemma":[0.00007769136,0.0003770742,0.0003560057,0.00008094808,0.0001481376,0.000001981302,0.0002071471,0.0002469855,0.0005462762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026392,"about_ca_system_score_gemma":0.00013226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002385561,"about_ca_topic_score_gemma":0.002919091,"domain_scores_codex":[0.99854,0.0001241033,0.0002452471,0.0005626511,0.0001445837,0.0003833942],"domain_scores_gemma":[0.998782,0.00001558732,0.0001738852,0.0008573631,0.00007168244,0.00009950368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002161965,0.0001334471,0.009256821,0.0001150528,0.0004182321,0.00003778409,0.0001380531,0.00001450457,0.625097,0.000285844,0.3229575,0.04152417],"study_design_scores_gemma":[0.0001595049,0.0001087393,0.000614303,0.00006176425,0.0001735578,0.00002089971,0.00006491857,0.00008801011,0.2112237,0.00003088826,0.7871268,0.0003269181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01728677,0.0309257,0.01029797,0.0002738656,0.00009302852,0.0003156033,0.0000274137,0.00006313875,0.9407165],"genre_scores_gemma":[0.07404233,0.007416905,0.003734948,0.0002847314,0.0007670952,0.00002844821,0.0002311189,0.0002307989,0.9132636],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4641693,"threshold_uncertainty_score":0.9998681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003988936705713729,"score_gpt":0.2288028071315105,"score_spread":0.2248138704257967,"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."}}