{"id":"W7036819941","doi":"","title":"Completing the cycle: assessing bicycle theft and parking security in Montreal, Quebec","year":2013,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Payment; Work (physics); Clothing; Poison control","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":[0.0008613573,0.0006769703,0.0003955499,0.001365642,0.004413802,0.001539852,0.002533246,0.0007667164,0.008034145],"category_scores_gemma":[0.001935491,0.0004701826,0.0005418809,0.002664251,0.0007281295,0.0007395007,0.001173369,0.001068261,0.0009437217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0398742,"about_ca_system_score_gemma":0.03598188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980999,"about_ca_topic_score_gemma":0.9996594,"domain_scores_codex":[0.9993656,0.00006982193,0.00002807079,0.0000890162,0.0002171507,0.0002302065],"domain_scores_gemma":[0.9984075,0.00007061898,0.0001965267,0.00003563589,0.0007292132,0.0005604757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007431508,0.0004042723,0.9389239,0.00006993057,0.00007279157,0.0001812875,0.006066369,0.0005328354,0.0003984256,0.0004095197,0.01650757,0.03635874],"study_design_scores_gemma":[0.000009337778,0.00003194487,0.9896142,0.00006066593,0.00001344741,0.00001917713,0.004880229,0.0004425517,0.00006922561,0.00003166859,0.004809077,0.00001845598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774536,0.0007703724,0.0003484389,0.0009724378,0.00004309078,0.0003304688,0.004682019,0.00004928227,0.01535019],"genre_scores_gemma":[0.9673859,0.0007884771,0.001084071,0.0002723605,0.00001272358,0.0002058944,0.002835919,0.00002951801,0.02738511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0398742,"threshold_uncertainty_score":0.2893089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715993438385237,"score_gpt":0.2712316232284308,"score_spread":0.2540716888445784,"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."}}