{"id":"W2990800085","doi":"10.32866/10802","title":"Quantifying the Bicycle Share Gender Gap","year":2019,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Quarter (Canadian coin); Gender gap; Transport engineering; Demographic economics; Business; Demography; Geography; Engineering; Economics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004765861,0.00005984246,0.00007704694,0.00002256986,0.0004289787,0.0001021793,0.0003317021,0.00005860044,0.004212202],"category_scores_gemma":[0.00003701502,0.00004133151,0.00006446018,0.0002166531,0.00008590664,0.0002371265,0.00002145107,0.0001185937,0.0007023455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003109806,"about_ca_system_score_gemma":0.00005131226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007581063,"about_ca_topic_score_gemma":0.0006763007,"domain_scores_codex":[0.9991928,0.00003344198,0.0001026937,0.0001759877,0.0002469314,0.0002481466],"domain_scores_gemma":[0.9996595,0.0000668562,0.00003330919,0.0001672186,0.00002807223,0.00004506119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002814249,0.000009555508,0.9844505,0.000009780348,0.00000455986,7.675201e-7,0.00916062,6.167843e-7,0.0001872127,0.004618018,0.001288492,0.0002671226],"study_design_scores_gemma":[0.00009527518,0.000005008659,0.9367451,0.00001191893,0.000007192039,7.465285e-8,0.002884683,0.00001356251,0.0001592054,0.001364568,0.05861417,0.00009920992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325491,0.00008386627,0.00001017719,0.0008135582,0.000325556,0.0001691461,0.000006617037,0.00006159955,0.06598035],"genre_scores_gemma":[0.995537,0.000004182252,0.0000317205,0.0002576044,0.0001310242,0.00000439505,0.000005586354,0.000006490728,0.004021961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06298791,"threshold_uncertainty_score":0.9966981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178626279351891,"score_gpt":0.3483460540512534,"score_spread":0.2304834261160643,"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."}}