{"id":"W7019255308","doi":"","title":"États de mères. Emmanuelle Cornu, Trois tours de cordon, Montréal, Druide, 2022, 165 p.","year":2022,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Literature, Musicology, and Cultural Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Interpretation (philosophy); Feature (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001826185,0.00250991,0.001297023,0.00362096,0.003576298,0.002795639,0.001238574,0.001602702,0.05630478],"category_scores_gemma":[0.003715663,0.0008913119,0.000682157,0.004406936,0.002228891,0.002806832,0.001276682,0.00281827,0.01237974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01113331,"about_ca_system_score_gemma":0.008187798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5764699,"about_ca_topic_score_gemma":0.7428955,"domain_scores_codex":[0.9990267,0.0002698447,0.00003982036,0.0002090518,0.000351501,0.0001032173],"domain_scores_gemma":[0.998442,0.0003949524,0.00009280497,0.00005926153,0.0008288618,0.0001820967],"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":[0.00007763998,0.00001283192,0.000279981,0.0004736336,0.00002195398,0.0001687665,0.0008999372,0.00009280386,0.0002588718,0.008071156,0.9340909,0.05555155],"study_design_scores_gemma":[0.000008019462,0.000004718619,0.001214724,0.0002736488,0.000006575076,0.0001420671,0.000372667,0.00002902415,0.00008894596,0.000458854,0.9973921,0.000008797332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0006693929,0.9176039,0.0005049791,0.03811434,0.01723964,0.00001820926,0.000819945,0.0001419806,0.0248877],"genre_scores_gemma":[0.02074308,0.5200776,0.001413052,0.008753818,0.01456095,0.00007687809,0.0006114523,0.0004474283,0.4333157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4235301,"threshold_uncertainty_score":0.8520487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00880909744105581,"score_gpt":0.1911493058403783,"score_spread":0.1823402083993225,"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."}}