{"id":"W2193807161","doi":"10.1080/23322705.2015.1016769","title":"Project Backpage: Using Text Messaging to Initiate Outreach Support for Victims of Human Trafficking and Sexual Exploitation","year":2015,"lang":"en","type":"article","venue":"Journal of Human Trafficking","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Outreach; Public relations; Service (business); The Internet; Business; Political science; Marketing; World Wide Web; Computer science","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":[0.003949502,0.0004639125,0.0001966685,0.0007271394,0.004389562,0.001567349,0.001331738,0.001033419,0.01435507],"category_scores_gemma":[0.006137746,0.0002318519,0.0002583688,0.0004032499,0.001611393,0.00098619,0.004235288,0.001034752,0.001750088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184976,"about_ca_system_score_gemma":0.0146855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03323995,"about_ca_topic_score_gemma":0.07318834,"domain_scores_codex":[0.9970861,0.001902622,0.00005439332,0.0001332506,0.0003467202,0.0004768854],"domain_scores_gemma":[0.996507,0.001187901,0.0002234247,0.0001985315,0.0005772894,0.001305723],"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":[0.001038415,0.01153057,0.0246474,0.001681371,0.00004220981,0.001943329,0.1596236,0.0006683768,0.01137744,0.003195198,0.07927655,0.7049755],"study_design_scores_gemma":[0.001347516,0.01687278,0.126104,0.002063233,0.0001944202,0.001872833,0.388986,0.003412601,0.01662802,0.003702538,0.4386558,0.000160391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.851538,0.0005210947,0.009792658,0.007012146,0.0003456865,0.01686314,0.0012267,0.0008844899,0.1118162],"genre_scores_gemma":[0.8712266,0.001087021,0.05329438,0.003604003,0.0001664142,0.01259087,0.0009563045,0.0001781169,0.0568963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03323995,"threshold_uncertainty_score":0.06609297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1845219081997881,"score_gpt":0.431852205391129,"score_spread":0.2473302971913409,"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."}}