{"id":"W7039025524","doi":"","title":"L’histoire s’est arrêtée à Montréal","year":2020,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Identification (biology); Context (archaeology); Field (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009537007,0.0008934639,0.0004182467,0.002689171,0.0101313,0.00661885,0.001409906,0.001275871,0.055264],"category_scores_gemma":[0.003316421,0.0004511227,0.0005601739,0.004975584,0.005179113,0.002085264,0.00195225,0.002847903,0.005385073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04750509,"about_ca_system_score_gemma":0.04299131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9730331,"about_ca_topic_score_gemma":0.9918138,"domain_scores_codex":[0.9986676,0.0001764479,0.00003082506,0.0002291281,0.0005743181,0.0003217463],"domain_scores_gemma":[0.9985789,0.0001531581,0.00008205816,0.0001431078,0.0007990568,0.0002436403],"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":[0.00007049138,0.00001900542,0.003218067,0.0002510602,0.00003133246,0.0003817568,0.005440426,0.0004186992,0.001547302,0.1490194,0.7762355,0.06336701],"study_design_scores_gemma":[0.000002583668,0.00000334093,0.003280934,0.00005488303,0.0000040114,0.00004318744,0.0006713629,0.0000500307,0.0001645518,0.0007385066,0.9949738,0.00001273416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01730761,0.04191186,0.01174978,0.1315023,0.02059027,0.0002694715,0.009363274,0.001093647,0.7662118],"genre_scores_gemma":[0.1127388,0.01234101,0.004433368,0.006263489,0.001187925,0.0001088562,0.00122605,0.0005304483,0.8611699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.055264,"threshold_uncertainty_score":0.3446752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376121184933316,"score_gpt":0.2000435748850902,"score_spread":0.186282363035757,"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."}}