{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003591003,0.0003572594,0.0003500414,0.00007212836,0.0005141453,0.0001926683,0.0005727505,0.000682684,0.0006251785],"category_scores_gemma":[0.001071536,0.0003378103,0.0001885635,0.0001517444,0.002125722,0.0004845409,0.0001391941,0.0004655407,0.001350101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002855964,"about_ca_system_score_gemma":0.002620868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233126,"about_ca_topic_score_gemma":0.01035463,"domain_scores_codex":[0.997148,0.0005706894,0.0004595119,0.0005127076,0.0003783556,0.0009307743],"domain_scores_gemma":[0.9983725,0.0003974411,0.0001998346,0.0004114674,0.0003449432,0.0002738403],"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":[0.00001226746,0.0005191843,0.003791522,0.0001025639,0.0001078121,0.0001704117,0.1002763,0.001698039,0.0004676385,0.8071084,0.06948037,0.01626544],"study_design_scores_gemma":[0.001431425,0.0001226266,0.07361221,0.0001314954,0.0001996243,0.00007598176,0.06551588,0.0001980078,0.003794859,0.02344524,0.830641,0.0008317173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7590546,0.004499151,0.0009924874,0.1765312,0.002644997,0.0005439612,0.00004760725,0.0003780634,0.0553079],"genre_scores_gemma":[0.9432781,0.0018894,0.003017493,0.007026875,0.001406575,0.00003419548,0.00003247476,0.00003526998,0.04327961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7836632,"threshold_uncertainty_score":0.9999074,"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."}}