{"id":"W2913465806","doi":"","title":"\"The Tip of the Iceberg\": Human Trafficking, Borders and the Canada-U.S. North","year":2018,"lang":"en","type":"article","venue":"Canada-United States law journal","topic":"Sex work and related issues","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Iceberg; Human trafficking; Political science; Geography; Criminology; Sociology; Meteorology","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":[0.0008398434,0.0001301481,0.0001589797,0.00003059166,0.008458596,0.0001891172,0.0006753378,0.00005774389,0.00006947147],"category_scores_gemma":[0.0001654176,0.00006188267,0.00005068438,0.0005688177,0.002674001,0.00005849002,0.00004531259,0.0005122689,3.10603e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402865,"about_ca_system_score_gemma":0.002114294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972603,"about_ca_topic_score_gemma":0.9999684,"domain_scores_codex":[0.9978557,0.0005257051,0.0003253034,0.0001131256,0.0007168528,0.0004632679],"domain_scores_gemma":[0.9984674,0.0004378523,0.0002810243,0.0002066344,0.0004036837,0.0002034353],"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":[0.0002285306,0.00005137684,0.0174611,0.00002310294,0.001074958,0.00009333744,0.1468849,0.001455982,0.0000153109,0.120973,0.6983117,0.01342667],"study_design_scores_gemma":[0.0004573864,0.00002221659,0.001738576,0.00003179117,0.00004895328,0.00001491954,0.04004674,0.0001124871,0.00003293052,0.0006984717,0.9566878,0.0001077187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547899,0.002209155,0.00000282461,0.02712036,0.001249894,0.000210524,0.00001278115,0.00001199744,0.01439257],"genre_scores_gemma":[0.9956317,0.0008132695,0.000005195761,0.001656472,0.0003286441,0.000001762672,0.000004282813,0.00001276581,0.00154592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2583761,"threshold_uncertainty_score":0.9928322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007472891191589571,"score_gpt":0.250471027393652,"score_spread":0.2429981362020625,"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."}}