{"id":"W2803020732","doi":"10.1177/1057567718769719","title":"Going Local on a Global Platform","year":2018,"lang":"en","type":"article","venue":"International Criminal Justice Review","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Destinations; Transformative learning; Product (mathematics); Business; Consumption (sociology); Production (economics); Distribution (mathematics); Supply chain; Key (lock); Sharing economy; Marketing; Commerce; Economics; Computer security; Computer science; Tourism; Political science; Law","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":[0.00164219,0.0002962044,0.0002716709,0.001204905,0.001715082,0.005626619,0.0005455324,0.0008461758,0.06004543],"category_scores_gemma":[0.006255222,0.000251453,0.000300836,0.001420826,0.00153558,0.01018192,0.00456831,0.001182661,0.0125369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000961233,"about_ca_system_score_gemma":0.001454462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002857174,"about_ca_topic_score_gemma":0.00468614,"domain_scores_codex":[0.9989408,0.000274691,0.00004278375,0.0002410952,0.0002589506,0.0002416557],"domain_scores_gemma":[0.9941218,0.001239434,0.001420939,0.001262232,0.0008077964,0.001147863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006886029,0.0004509246,0.2774244,0.001377009,0.0001879129,0.004263002,0.02870072,0.001811694,0.01205191,0.1110337,0.07476532,0.4872448],"study_design_scores_gemma":[0.0000545993,0.0005450069,0.1279594,0.0008422199,0.0001244537,0.001965429,0.03736401,0.002284416,0.004801083,0.01903858,0.8048864,0.0001344797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5879564,0.001353894,0.01259193,0.006053932,0.000288534,0.0002340805,0.001474181,0.0008532124,0.3891937],"genre_scores_gemma":[0.9263197,0.001023085,0.005423018,0.001692237,0.000103044,0.0000692314,0.0008269979,0.000308583,0.06423417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06004543,"threshold_uncertainty_score":0.200872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601311795775218,"score_gpt":0.3606333377675337,"score_spread":0.3046202198097815,"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."}}