{"id":"W1922981639","doi":"","title":"Montréal en décalage. Anna Leventhal, Douce détresse, Marchand de feuilles, 2014. Anna Leventhal, Sweet Affliction, Invisible, 2014Anna Leventhal, Douce détresse, Marchand de feuilles, 2014Anna Leventhal, Sweet Affliction, Invisible, 2014","year":2015,"lang":"fr","type":"article","venue":"Liberté","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.006361383,0.002553265,0.002718464,0.003371347,0.004955024,0.002810464,0.0037632,0.002986654,0.009387073],"category_scores_gemma":[0.001134461,0.003329461,0.001615153,0.003472084,0.004525981,0.004279607,0.001476577,0.003178996,0.01097125],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007859786,"about_ca_system_score_gemma":0.007680828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6261044,"about_ca_topic_score_gemma":0.6005189,"domain_scores_codex":[0.9787022,0.004733207,0.0030969,0.003683437,0.003885107,0.005899092],"domain_scores_gemma":[0.9866961,0.000988397,0.001937036,0.003035116,0.001446939,0.005896384],"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":[0.000766344,0.002046699,0.002969594,0.0007118511,0.0008624897,0.0008934969,0.01323675,0.00172236,0.0002343993,0.004615397,0.9524995,0.0194411],"study_design_scores_gemma":[0.004667958,0.000989683,0.008883115,0.001179565,0.0008203728,0.0005979008,0.004491585,0.0007043053,0.0002965189,0.004165212,0.9698621,0.003341675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.256815,0.4699667,0.002978154,0.115298,0.02609031,0.008796115,0.009841997,0.002336548,0.1078771],"genre_scores_gemma":[0.05750655,0.0904476,0.001972432,0.003503458,0.009598861,0.0008621857,0.001277793,0.0009793501,0.8338518],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7259746,"threshold_uncertainty_score":0.9991207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530812328256056,"score_gpt":0.267519565767211,"score_spread":0.2422114424846505,"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."}}