{"id":"W3126753380","doi":"10.71781/23757","title":"Scripter le trafic humain à des fins d’exploitation sexuelle : du recrutement à la distribution des bénéfices","year":2019,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Sex work and related issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; 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":[0.004953168,0.000508111,0.0004139109,0.001297357,0.007553026,0.007162242,0.001145559,0.001809387,0.01395423],"category_scores_gemma":[0.01460076,0.0003225786,0.0004014984,0.00120672,0.0151749,0.006519463,0.003984126,0.002668926,0.002480265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006117998,"about_ca_system_score_gemma":0.006968057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02415407,"about_ca_topic_score_gemma":0.03407747,"domain_scores_codex":[0.9937011,0.004331018,0.000132452,0.0005092398,0.0008619023,0.0004642706],"domain_scores_gemma":[0.9930206,0.003120929,0.001237069,0.0007637535,0.001176863,0.0006807537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001643503,0.00007302,0.01719652,0.0005473843,0.00003526342,0.001268001,0.669916,0.000432371,0.001103283,0.2384307,0.01229565,0.05853745],"study_design_scores_gemma":[0.00002300532,0.0001321244,0.01762181,0.001553899,0.0000402768,0.001287555,0.5859084,0.0007636662,0.001522843,0.04376734,0.3472799,0.00009924579],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5828304,0.006317483,0.0293745,0.03586067,0.0009545258,0.0003200815,0.0006243316,0.0001862004,0.3435318],"genre_scores_gemma":[0.9515306,0.002038639,0.003601018,0.00198415,0.0000922327,0.0001537547,0.0001471517,0.0001170822,0.04033538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02415407,"threshold_uncertainty_score":0.04802698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009961316253942738,"score_gpt":0.2014010478260216,"score_spread":0.1914397315720789,"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."}}