{"id":"W1995722873","doi":"10.7202/022379ar","title":"La région de Montréal face au déclin des dépenses militaires","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002159657,0.0002281323,0.0001976875,0.001233729,0.002109177,0.001269388,0.0004940491,0.0003332975,0.01373298],"category_scores_gemma":[0.001457357,0.000148012,0.0002095776,0.002386942,0.0006937469,0.0003608803,0.0006274882,0.0003531289,0.0004638685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01474884,"about_ca_system_score_gemma":0.01558517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860867,"about_ca_topic_score_gemma":0.9948457,"domain_scores_codex":[0.99959,0.00003784792,0.000008887157,0.00007318569,0.0001124052,0.000177686],"domain_scores_gemma":[0.9989809,0.0001329629,0.0002278296,0.0000305741,0.0003847011,0.0002430404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003189456,0.00005298893,0.7788357,0.0003718091,0.0002227545,0.001259744,0.006125067,0.004908009,0.006195955,0.02248533,0.03954608,0.1396777],"study_design_scores_gemma":[0.000005056889,0.0000192183,0.9546967,0.00004090996,0.00001867476,0.0001099089,0.002021517,0.0004623779,0.0003931105,0.0001870512,0.04202692,0.00001850991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935714,0.004589344,0.002029655,0.007869886,0.00008754728,0.0001043218,0.01167987,0.0001577245,0.07991026],"genre_scores_gemma":[0.9690043,0.001181622,0.0004905153,0.0002395266,0.00002988307,0.00002094623,0.0008821962,0.00001042645,0.02814063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01474884,"threshold_uncertainty_score":0.1070108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380539590018449,"score_gpt":0.2104821738208575,"score_spread":0.196676777920673,"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."}}