{"id":"W2598546067","doi":"","title":"Le positionnement de Montréal par rapport à 11 autres agglomérations : entre perceptions et statistiques.","year":2004,"lang":"fr","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","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":[0.001076829,0.0003482801,0.0002279548,0.002538001,0.002425199,0.002268464,0.000690785,0.0003296152,0.006463922],"category_scores_gemma":[0.003298896,0.0002029399,0.0003619075,0.004634487,0.001024035,0.0009546668,0.001615061,0.0005032473,0.0004160457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008322395,"about_ca_system_score_gemma":0.004739809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9092104,"about_ca_topic_score_gemma":0.9628376,"domain_scores_codex":[0.9990888,0.0001875325,0.00002817876,0.0001706634,0.0003355845,0.000189148],"domain_scores_gemma":[0.9977394,0.0004907477,0.0004791748,0.00009447198,0.0008285101,0.0003675968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002884512,0.0001361545,0.8840495,0.00014777,0.0001789132,0.0002766634,0.05169663,0.000942523,0.001387046,0.002319388,0.003394253,0.05518266],"study_design_scores_gemma":[0.000005331078,0.00008576169,0.9658517,0.00002842324,0.00003352147,0.00002538527,0.02500572,0.0004208689,0.0003460807,0.0001026482,0.008063979,0.00003062147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875541,0.0004200237,0.0004388804,0.0002782944,0.00001282886,0.0000380397,0.0009496774,0.00001598201,0.01029217],"genre_scores_gemma":[0.9923213,0.0002270919,0.0005061728,0.00003996082,0.000007538673,0.00002064717,0.0005118982,0.0000109826,0.006354435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09078962,"threshold_uncertainty_score":0.1826485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05277076972208224,"score_gpt":0.3253919150365931,"score_spread":0.2726211453145109,"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."}}