{"id":"W2102785116","doi":"10.7202/007868ar","title":"Pour comprendre la pratique du « squeegee » à Montréal1","year":2004,"lang":"fr","type":"article","venue":"Criminologie","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Sociology; 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":[0.002286992,0.0004656443,0.0002507625,0.001042849,0.02150444,0.005038389,0.001713788,0.002427263,0.01696779],"category_scores_gemma":[0.006406434,0.0003143208,0.0003197585,0.001899497,0.01592664,0.003120372,0.00410124,0.004121517,0.0007685368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03202299,"about_ca_system_score_gemma":0.03675244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8845066,"about_ca_topic_score_gemma":0.949077,"domain_scores_codex":[0.9977369,0.0008586387,0.00003996525,0.0002516039,0.0005155034,0.0005974272],"domain_scores_gemma":[0.9967663,0.001099256,0.0004008176,0.0001699007,0.0006729387,0.0008908276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009935865,0.00005671136,0.01659478,0.0003671788,0.00003996796,0.002039754,0.6968896,0.0002679204,0.002644415,0.1722345,0.03983888,0.06892705],"study_design_scores_gemma":[0.00001371762,0.00008734569,0.03371662,0.0003948946,0.00002405429,0.0005977548,0.2543742,0.0001802029,0.0006960552,0.005174277,0.704615,0.0001258889],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4779325,0.02062697,0.007164776,0.1091927,0.002169531,0.0002555824,0.0006751027,0.0001800438,0.3818028],"genre_scores_gemma":[0.9089392,0.003788281,0.001474983,0.004449308,0.000192327,0.00006477583,0.00009067002,0.00004815366,0.0809524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1154934,"threshold_uncertainty_score":0.232347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4470763650125106,"score_gpt":0.4425067097588037,"score_spread":0.004569655253706895,"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."}}