{"id":"W7098215375","doi":"","title":"TITLE: Human Trafficking 2.0 The Intersection between Human Trafficking and New Media in Canada By","year":2015,"lang":"en","type":"article","venue":"","topic":"Plant and Fungal Species Descriptions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human trafficking; Newspaper; Law enforcement; Intersection (aeronautics); Human rights; Enforcement; New media","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":[0.001599027,0.0004115987,0.0003712755,0.003449736,0.01486205,0.01136935,0.000873009,0.0016095,0.03391524],"category_scores_gemma":[0.0049889,0.0001913249,0.0002824091,0.007102219,0.005702102,0.002720526,0.002344629,0.001756139,0.00289673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07659713,"about_ca_system_score_gemma":0.1618937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9816656,"about_ca_topic_score_gemma":0.9894136,"domain_scores_codex":[0.9979576,0.0001672009,0.00004700553,0.0002090278,0.001175625,0.0004435187],"domain_scores_gemma":[0.9931318,0.0008957859,0.0003997983,0.0001107882,0.004226924,0.001234947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009147701,0.00003418373,0.01188328,0.0008532512,0.00001342752,0.0003907579,0.03613012,0.0002012869,0.001110476,0.06233816,0.8411705,0.04578311],"study_design_scores_gemma":[0.000004818884,0.00001441287,0.02353465,0.0007874375,0.00002266775,0.0001675291,0.03496666,0.0001660808,0.0006703961,0.001548451,0.9380681,0.00004875272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07585644,0.02416723,0.001424776,0.2041511,0.01346522,0.0003177351,0.01341907,0.0003385841,0.6668599],"genre_scores_gemma":[0.5685802,0.02425964,0.001727983,0.01970283,0.002028632,0.0001449669,0.00320601,0.0003253472,0.3800244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07659713,"threshold_uncertainty_score":0.5557537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04353175424500196,"score_gpt":0.2404063605756442,"score_spread":0.1968746063306422,"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."}}