{"id":"W6891198838","doi":"10.3886/e115490v1","title":"Replication code and data for \"Is Uber a Complement or Substitute with Public Transit?\"","year":2019,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Public transport; Transit (satellite); Complement (music); Flexibility (engineering); Metropolitan area; Exploit; Transit system","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":[0.002747506,0.001756025,0.001327642,0.004427251,0.001215582,0.003439581,0.003265383,0.002523813,0.2286872],"category_scores_gemma":[0.02197215,0.001086597,0.001466592,0.01085641,0.000818447,0.002464772,0.002418628,0.002658306,0.1762643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925961,"about_ca_system_score_gemma":0.005018807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08270266,"about_ca_topic_score_gemma":0.09538244,"domain_scores_codex":[0.9973741,0.0004487791,0.0004433227,0.0006372679,0.000644194,0.0004523731],"domain_scores_gemma":[0.9881634,0.002858057,0.001173298,0.003029886,0.00419474,0.0005805576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004737209,0.00001329935,0.0005776715,0.0003263731,0.00001273738,0.00001245617,0.00003777516,0.0001058485,0.0000400441,0.0007087512,0.9969284,0.001189196],"study_design_scores_gemma":[0.0003070629,0.00001367124,0.004241149,0.000268834,0.00001780622,0.00002382538,0.0001784481,0.0001808669,0.0001284367,0.0008798909,0.9937314,0.00002852442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000839249,0.0000182135,0.00006991728,0.0001073668,0.00005561261,0.0000262917,0.9983131,0.0001625549,0.001163132],"genre_scores_gemma":[0.0007573641,0.00005955755,0.0005106326,0.00008198908,0.00002327679,0.0003225094,0.9953329,0.0001694197,0.002742289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2286872,"threshold_uncertainty_score":0.765035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3643986525186276,"score_gpt":0.4144671473572253,"score_spread":0.05006849483859771,"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."}}