{"id":"W2118060166","doi":"10.1177/0894439312453001","title":"Recruitment of Sex Buyers","year":2012,"lang":"en","type":"article","venue":"Social Science Computer Review","topic":"Sex work and related issues","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"","keywords":"Data collection; Qualitative property; Argument (complex analysis); Process (computing); Field (mathematics); Survey data collection; Business; Marketing; Advertising; Psychology; Internet privacy; Public relations; Computer science; Sociology; Political science; Medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0268605,0.0005818529,0.001092696,0.00241471,0.004017531,0.002106341,0.002581851,0.001710857,0.02385903],"category_scores_gemma":[0.01866215,0.00100204,0.0005276119,0.0014158,0.000936982,0.001104003,0.003248987,0.001160588,0.0115243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042032,"about_ca_system_score_gemma":0.008444397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137317,"about_ca_topic_score_gemma":0.0171147,"domain_scores_codex":[0.9890823,0.005370856,0.0008972147,0.0008921141,0.002675647,0.001081882],"domain_scores_gemma":[0.9940124,0.001559554,0.0004677105,0.001158881,0.00185868,0.000942714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003829317,0.005407089,0.1390499,0.006140191,0.0001308378,0.007774337,0.06864645,0.0004959423,0.02162051,0.01021685,0.06378388,0.6729047],"study_design_scores_gemma":[0.003860908,0.01111375,0.1837927,0.004938167,0.0002715,0.007105154,0.1181245,0.00271787,0.01275411,0.008170101,0.6469376,0.0002136139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.3364688,0.007482167,0.04300796,0.00342786,0.001555938,0.5588014,0.004448046,0.0002672657,0.0445406],"genre_scores_gemma":[0.3527847,0.01122678,0.09412286,0.01661943,0.001101438,0.4421826,0.002848459,0.0001926091,0.07892115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0268605,"threshold_uncertainty_score":0.1420536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097464431102842,"score_gpt":0.4177543467873661,"score_spread":0.3080079036770819,"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."}}