{"id":"W37364735","doi":"","title":"Mobilisation des connaissances et développement social à Montréal : la lutte à la pauvreté au Plateau-Mont-Royal.","year":2010,"lang":"fr","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; 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":[0.001500113,0.0002892808,0.0001962859,0.0007981696,0.01133772,0.005275525,0.001481227,0.001171466,0.0133043],"category_scores_gemma":[0.003872094,0.0002181855,0.0002733844,0.001824258,0.007829852,0.00206019,0.00493106,0.001663376,0.0004165048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05457825,"about_ca_system_score_gemma":0.06196727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9602918,"about_ca_topic_score_gemma":0.9862168,"domain_scores_codex":[0.9983919,0.0005180648,0.00002192761,0.0001637486,0.0003405871,0.0005637351],"domain_scores_gemma":[0.9976739,0.0005469573,0.0002021429,0.00008649806,0.0004413399,0.001049082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001725921,0.0001223457,0.05183531,0.000501064,0.00006133285,0.00247934,0.6154045,0.0008714854,0.004283276,0.1596494,0.03713003,0.1274892],"study_design_scores_gemma":[0.00002318741,0.0001533494,0.1823092,0.0003775658,0.00003315942,0.0002851565,0.2423796,0.000552005,0.0009418314,0.003743699,0.5690653,0.0001358773],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7468442,0.007666753,0.002749336,0.04650334,0.0003531796,0.0003234213,0.0007185642,0.0001156267,0.1947255],"genre_scores_gemma":[0.9307607,0.00152608,0.0008246762,0.001181108,0.00003704916,0.00009719335,0.0001096487,0.00003346063,0.06543016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05457825,"threshold_uncertainty_score":0.3959947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08080983242324985,"score_gpt":0.3749581039178932,"score_spread":0.2941482714946433,"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."}}