{"id":"W6958411289","doi":"10.6084/m9.figshare.7405610","title":"Additional file 1: of Who is in the near market for bicycle sharing? Identifying current, potential, and unlikely users of a public bicycle share program in Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Postal service; Market share; Public use; Market research","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007670778,0.0006256108,0.0009470106,0.002699721,0.002248741,0.001257781,0.001188075,0.0007766067,0.6180831],"category_scores_gemma":[0.01846449,0.0004489571,0.0006369086,0.005091805,0.0003299721,0.001811151,0.001011956,0.001032808,0.05901394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003351553,"about_ca_system_score_gemma":0.005166405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.507548,"about_ca_topic_score_gemma":0.5951494,"domain_scores_codex":[0.999418,0.00008234781,0.00009484966,0.00009542862,0.0001467407,0.0001625593],"domain_scores_gemma":[0.9901518,0.004373218,0.0008834809,0.0003705937,0.003773955,0.0004468817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009002622,0.00009010138,0.01402235,0.001138027,0.00001983688,0.00005321261,0.0004164293,0.0002375295,0.00002457172,0.0005717257,0.9762429,0.007093287],"study_design_scores_gemma":[0.001900953,0.0002093795,0.3493117,0.007945995,0.0002217364,0.0005976671,0.01223857,0.002672177,0.0005356901,0.005187711,0.6189449,0.000233535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001723127,0.00002894921,0.0001153896,0.0001932263,0.00001485916,0.0001803291,0.9944915,0.00004596637,0.003206752],"genre_scores_gemma":[0.05361445,0.0005575981,0.002502481,0.000779179,0.00008093198,0.007591922,0.9058699,0.0002223973,0.02878111],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6180831,"threshold_uncertainty_score":0.9907042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05990794887930327,"score_gpt":0.3148649444799628,"score_spread":0.2549569956006595,"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."}}