{"id":"W2081051256","doi":"10.1177/0886109912475049","title":"From One “Dragon Sleigh” to Another","year":2013,"lang":"en","type":"article","venue":"Affilia","topic":"Sex work and related issues","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Demographics; Face (sociological concept); Criminology; Public relations; Sociology; Political science; Law; Demography; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001243042,0.0005450976,0.0004412815,0.001665838,0.02542833,0.006464926,0.001016912,0.001234827,0.01861168],"category_scores_gemma":[0.00209722,0.000454575,0.0005016353,0.0007356479,0.008091598,0.004458743,0.0122096,0.005003652,0.002538031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002883417,"about_ca_system_score_gemma":0.002783649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05173643,"about_ca_topic_score_gemma":0.1557329,"domain_scores_codex":[0.9982156,0.0005407098,0.0000378506,0.000213976,0.000257623,0.0007342841],"domain_scores_gemma":[0.9986333,0.0000880558,0.0001188187,0.0001195711,0.0002836346,0.0007565298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002225091,0.0003613758,0.07680329,0.0001814633,0.00004128316,0.001983223,0.7569019,0.00007282934,0.00445714,0.02822874,0.04972177,0.08102455],"study_design_scores_gemma":[0.00001161106,0.0001955996,0.02294368,0.0002021898,0.00001961328,0.0007962148,0.7685012,0.00008602486,0.0004721046,0.001708029,0.204993,0.00007077832],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.765716,0.0006238298,0.002756438,0.01806233,0.002065359,0.0001169872,0.0002300205,0.0002373345,0.2101917],"genre_scores_gemma":[0.8915614,0.0003393148,0.00195657,0.005211174,0.0001011087,0.00004717292,0.0001280532,0.0001605439,0.1004947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05173643,"threshold_uncertainty_score":0.1028705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765172756890698,"score_gpt":0.2776010700273324,"score_spread":0.2599493424584254,"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."}}