{"id":"W2913202754","doi":"10.7202/1055882ar","title":"La Seine du crime et les petits métiers parisiens","year":2019,"lang":"fr","type":"article","venue":"Arborescences Revue d études françaises","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001017421,0.000440051,0.0002577645,0.001502886,0.01140261,0.005328363,0.0006360136,0.001359601,0.01319487],"category_scores_gemma":[0.00217643,0.0002415271,0.0002260239,0.001857475,0.01110066,0.001872759,0.002697873,0.001591415,0.0008170393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01128125,"about_ca_system_score_gemma":0.006646051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3494571,"about_ca_topic_score_gemma":0.487837,"domain_scores_codex":[0.9981863,0.0007587736,0.00003805976,0.0001560076,0.0002950515,0.0005657046],"domain_scores_gemma":[0.9990055,0.0003007909,0.0002686063,0.00007325711,0.0001708967,0.0001809848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000697209,0.00003953804,0.02695416,0.0001338334,0.00003833756,0.001239625,0.3175398,0.0006539415,0.000513792,0.5978739,0.01400442,0.04093887],"study_design_scores_gemma":[0.000009176173,0.00008481165,0.1021243,0.0002934291,0.00001824461,0.0006270612,0.2456545,0.000199628,0.0003642543,0.006759218,0.6438123,0.00005310035],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6372114,0.005618699,0.001708879,0.01999822,0.0002088419,0.00002824255,0.0003035484,0.00004473544,0.3348774],"genre_scores_gemma":[0.9445298,0.001420611,0.0002617945,0.0003895031,0.00005063823,0.00001768648,0.00004459115,0.00001705004,0.05326829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3494571,"threshold_uncertainty_score":0.694846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693721907810762,"score_gpt":0.2579342853725673,"score_spread":0.2309970662944597,"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."}}