{"id":"W4389109428","doi":"10.32866/001c.90056","title":"Patterns in Bike Theft and Recovery","year":2023,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Variety (cybernetics); Identity theft; Computer security; Internet privacy; Business; Computer science; Artificial intelligence","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":[0.0008914851,0.0001258791,0.0002564633,0.002150939,0.0007294272,0.001006145,0.0006057214,0.0004467906,0.004067191],"category_scores_gemma":[0.006351949,0.0001997506,0.0003473794,0.00295398,0.0006624433,0.00123617,0.001257209,0.0006003386,0.0003346826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006604427,"about_ca_system_score_gemma":0.0006273079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03032954,"about_ca_topic_score_gemma":0.05238475,"domain_scores_codex":[0.9986209,0.0004457638,0.0002444821,0.0002246789,0.0002107936,0.0002533347],"domain_scores_gemma":[0.9963526,0.0007368481,0.001763857,0.0003275093,0.0005538509,0.000265468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001141316,0.00006507168,0.9784734,0.0001021533,0.00007627599,0.0001026281,0.003063228,0.0002326292,0.000261674,0.0003680765,0.0003332313,0.01680739],"study_design_scores_gemma":[8.440535e-7,0.00002826047,0.9933867,0.00003565488,0.000009295713,0.0001619911,0.005412705,0.0001400592,0.00007316004,0.0001155802,0.0006275139,0.000008391332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962803,0.0003728975,0.0003662431,0.0001734532,0.00000573273,0.00001940292,0.0004765722,0.000006885243,0.002298636],"genre_scores_gemma":[0.9988756,0.0002234523,0.0001411444,0.00001381611,0.00000255938,0.00001054984,0.0003040562,0.000002473964,0.0004264419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03032954,"threshold_uncertainty_score":0.06030601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761083574572935,"score_gpt":0.2997458418352105,"score_spread":0.2721350060894811,"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."}}