{"id":"W7062348688","doi":"","title":"Understanding bicycle sharing systems: user and system insights from three cities in North America","year":2017,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Public transport; Renting; Bike sharing; Service (business); Sharing economy; Mode (computer interface); Information system; Land use","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009561732,0.0002096403,0.0002720718,0.000672052,0.002157795,0.002425084,0.0006017464,0.0006042842,0.003740746],"category_scores_gemma":[0.00502986,0.0002628333,0.0001713471,0.001669024,0.0009008311,0.002488481,0.001230627,0.0007107615,0.0006346878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091809,"about_ca_system_score_gemma":0.00162795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2872376,"about_ca_topic_score_gemma":0.4711574,"domain_scores_codex":[0.9994149,0.0002285755,0.00001984033,0.0001334396,0.0001011819,0.0001019849],"domain_scores_gemma":[0.9961228,0.002008967,0.0003552824,0.0001676079,0.000915564,0.0004298137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000398269,0.0004961603,0.6434766,0.0001931228,0.0001079449,0.000406283,0.2494627,0.002677211,0.003166786,0.002304285,0.02006693,0.07724366],"study_design_scores_gemma":[0.00002098266,0.0001457268,0.5809124,0.0001272702,0.00005942652,0.00008855007,0.3759829,0.01154655,0.0007407295,0.001794278,0.02850112,0.00008003823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940562,0.00009141931,0.0007466801,0.0008087617,0.000004307334,0.00001984392,0.0003434709,0.00007303829,0.003856289],"genre_scores_gemma":[0.9965194,0.000153512,0.0009357094,0.000188541,0.000002943356,0.00002538069,0.0004838936,0.00003543291,0.001655167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2872376,"threshold_uncertainty_score":0.5711314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08627743819625973,"score_gpt":0.3091214107549749,"score_spread":0.2228439725587152,"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."}}