{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001132278,0.003545496,0.001525183,0.001723358,0.004961461,0.00609762,0.001433618,0.002458247,0.5224254],"category_scores_gemma":[0.001942132,0.0007361598,0.00143688,0.001858277,0.001253848,0.00152071,0.002002206,0.004046424,0.1980356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007244709,"about_ca_system_score_gemma":0.008818612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4236481,"about_ca_topic_score_gemma":0.5782655,"domain_scores_codex":[0.9980945,0.0002410798,0.00004804127,0.0004719138,0.0007867648,0.0003577249],"domain_scores_gemma":[0.9992307,0.0001533043,0.00005450345,0.00008097837,0.0002221349,0.000258218],"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":[0.0005545862,0.0002573194,0.002538028,0.0005417276,0.0001477196,0.002340209,0.0005045723,0.001817488,0.009031989,0.08663046,0.5615248,0.3341112],"study_design_scores_gemma":[0.0000440919,0.00003241195,0.002590057,0.00007819953,0.00001398375,0.0001723457,0.00009244161,0.0002329969,0.0008999166,0.0008879229,0.9949351,0.00002062813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006460562,0.009544355,0.005926725,0.004742056,0.003986156,0.0002497759,0.008327417,0.003306217,0.9574569],"genre_scores_gemma":[0.005240427,0.001351847,0.001356322,0.0001843371,0.0001540447,0.0000550493,0.0007836759,0.0003239326,0.9905503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5763519,"threshold_uncertainty_score":0.8423644,"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."}}