{"id":"W7055311921","doi":"","title":"Challenges to Bicycle Usage in Columbus, Ohio: A Seasonal Analysis of Central Ohio Greenway Mode Choice","year":2021,"lang":"en","type":"dissertation","venue":"The Knowledge Bank (The Ohio State University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cycling; Adverse weather; Lag; Mode (computer interface); Precipitation; Order (exchange); Time lag","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":[0.0004371354,0.000211197,0.0002409953,0.0009089607,0.001047951,0.001617593,0.000610147,0.0005373012,0.002563054],"category_scores_gemma":[0.001134275,0.0002485005,0.0004166597,0.002256087,0.000448546,0.0008441178,0.001121049,0.0006178051,0.0003784962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729451,"about_ca_system_score_gemma":0.001048585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1925507,"about_ca_topic_score_gemma":0.3861345,"domain_scores_codex":[0.9996327,0.00006666034,0.0000250841,0.00007973011,0.00006943296,0.0001263717],"domain_scores_gemma":[0.998708,0.0001936941,0.0003583965,0.00005529967,0.0002380094,0.0004466227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007985791,0.0001620274,0.9919031,0.00001981839,0.0000447313,0.0001436349,0.002968424,0.0002281704,0.000410347,0.00007115551,0.001097836,0.002870926],"study_design_scores_gemma":[0.00000161034,0.00002100799,0.991836,0.000008686839,0.000005979465,0.00002578117,0.006937092,0.0004281502,0.00002560729,0.00002020269,0.0006840822,0.000005598442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987112,0.00002536406,0.00004254592,0.00005783206,0.00000301782,0.000009570885,0.0007202143,0.000002148054,0.0004281518],"genre_scores_gemma":[0.997795,0.00005633504,0.00009309983,0.00004919242,0.000005760269,0.00003638555,0.001376917,0.000004685916,0.0005826717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1925507,"threshold_uncertainty_score":0.3828599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787049857026695,"score_gpt":0.234480885436168,"score_spread":0.2166103868659011,"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."}}