{"id":"W7048529374","doi":"","title":"Le repérage des zones
\\nde concentration de la
\\npauvreté à Montréal :
\\nl’identification des
\\nmicro, meso et macro
\\nzones de pauvreté","year":2008,"lang":"fr","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Quantitative methodology; Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.007452822,0.001150857,0.001084416,0.001083118,0.00526471,0.00174624,0.002119547,0.0009893245,0.0009826921],"category_scores_gemma":[0.002396281,0.001308602,0.0004801955,0.002503012,0.00678381,0.001387232,0.0004848117,0.002259041,0.0001803736],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004249101,"about_ca_system_score_gemma":0.03771121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9196535,"about_ca_topic_score_gemma":0.9960125,"domain_scores_codex":[0.988228,0.001553861,0.001562275,0.00257657,0.003178858,0.0029005],"domain_scores_gemma":[0.9919466,0.001447789,0.0008443275,0.001550781,0.003309058,0.0009014302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003040246,0.002544008,0.05177959,0.001540239,0.0023274,0.0004084413,0.007822188,0.03430758,0.0404335,0.4444787,0.3810137,0.0330406],"study_design_scores_gemma":[0.002832316,0.0001563455,0.01713835,0.0007685421,0.0001550445,0.0002302572,0.008200481,0.009276561,0.01341337,0.01959965,0.9264947,0.001734411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972092,0.004132361,0.02976852,0.02301912,0.005754378,0.003824521,0.003837062,0.0003523123,0.0321025],"genre_scores_gemma":[0.873327,0.0005209093,0.002562514,0.0001765383,0.001156038,0.0008358008,0.003964932,0.0003400133,0.1171163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.545481,"threshold_uncertainty_score":0.9999306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816750289047402,"score_gpt":0.3000047312811266,"score_spread":0.2718372283906526,"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."}}