{"id":"W7055725127","doi":"","title":"Critical Challenges of Micromobility: An Investigation of Weather, Road Safety, and the COVID-19 Pandemic","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pandemic; Government (linguistics); Context (archaeology); Coronavirus disease 2019 (COVID-19)","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":[0.0005848308,0.0002419356,0.0001932412,0.0006809972,0.002382681,0.003383,0.0003645739,0.0009136666,0.007951287],"category_scores_gemma":[0.001636489,0.0001536133,0.0002413586,0.001234725,0.001230335,0.001833733,0.001700623,0.001288584,0.0005755446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001957594,"about_ca_system_score_gemma":0.005727042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02695023,"about_ca_topic_score_gemma":0.05570343,"domain_scores_codex":[0.9996771,0.00008185491,0.000007146572,0.00003076549,0.00005941049,0.0001437755],"domain_scores_gemma":[0.9988899,0.0002677525,0.0002011996,0.00002554636,0.0001917964,0.0004237723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005085928,0.0007560231,0.430904,0.001155489,0.0001386826,0.001435932,0.05703865,0.002744203,0.002270693,0.1255272,0.1490211,0.2284994],"study_design_scores_gemma":[0.0000266838,0.0003731877,0.4013898,0.0007250619,0.00007624829,0.0001987877,0.3568682,0.001468153,0.0004806215,0.02016054,0.218155,0.00007767537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7480347,0.007779612,0.0008042459,0.06495916,0.0006598521,0.0001587148,0.0008629636,0.00003001966,0.1767108],"genre_scores_gemma":[0.9706559,0.01044056,0.0004636499,0.003133684,0.0002290048,0.00007208954,0.0002071194,0.00001302438,0.01478502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02695023,"threshold_uncertainty_score":0.05358672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03866235027202183,"score_gpt":0.2815855116759818,"score_spread":0.24292316140396,"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."}}