{"id":"W1557832184","doi":"10.32920/22726820.v1","title":"Why Decriminalize?: How Canada’s Municipal and Federal Regulations Increase Sex Workers’ Vulnerability","year":2023,"lang":"en","type":"article","venue":"","topic":"Sex work and related issues","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decriminalization; Principle of legality; Vulnerability (computing); Context (archaeology); Sex work; Work (physics); Political science; Sex workers; Position (finance); Order (exchange); Business; Law; Sociology; Engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005440883,0.00009306781,0.0001270908,0.00004029249,0.001334886,0.000157544,0.0001311934,0.0001084192,0.0003856732],"category_scores_gemma":[0.000339267,0.00007968325,0.00003017159,0.0004300822,0.000250697,0.0001119375,0.00005976536,0.0001322816,0.000007280148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094662,"about_ca_system_score_gemma":0.0004426074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9655613,"about_ca_topic_score_gemma":0.9735534,"domain_scores_codex":[0.9987796,0.0002373501,0.0001109308,0.0002179131,0.0003130304,0.0003411956],"domain_scores_gemma":[0.9992083,0.0002956037,0.00002948345,0.0001707766,0.00005505714,0.0002407871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002446591,0.00003913518,0.1902465,0.00001423699,0.00006890103,0.00004312613,0.07881127,0.0001160387,0.00001970496,0.003376588,0.7217903,0.005449704],"study_design_scores_gemma":[0.0002892887,0.00001740213,0.07882635,0.00002346703,0.00003152756,0.000001958676,0.2484702,0.000739398,0.00003011241,0.003048341,0.6682478,0.0002741181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211261,0.0001668474,0.00001253165,0.03766273,0.0002055405,0.0001532874,0.000001674591,0.000188707,0.04048263],"genre_scores_gemma":[0.9477232,0.00009007887,0.0001039678,0.0005998855,0.000116529,0.000008047006,0.00001333165,0.000007587323,0.05133738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1696589,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458675899451959,"score_gpt":0.3065902043949879,"score_spread":0.2720034454004683,"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."}}