{"id":"W6909999338","doi":"10.3886/e115490v3","title":"Replication code and data for \"Is Uber a Complement or Substitute with Public Transit?\"","year":2020,"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":[0.002896094,0.001774988,0.001324858,0.004133157,0.00117332,0.00335951,0.003174447,0.002415859,0.2422667],"category_scores_gemma":[0.02134965,0.001090327,0.001458333,0.01021832,0.0007723189,0.002508482,0.002262626,0.00255353,0.1764249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848588,"about_ca_system_score_gemma":0.004921055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08501223,"about_ca_topic_score_gemma":0.09614723,"domain_scores_codex":[0.9975417,0.0004269688,0.0003935061,0.0005890293,0.0006217107,0.0004271329],"domain_scores_gemma":[0.9890261,0.002693241,0.001028491,0.002693516,0.003995626,0.0005629979],"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":[0.0000477604,0.00001322127,0.0005330513,0.0003373154,0.0000121322,0.00001158421,0.0000362558,0.0001121754,0.00003812428,0.0007630057,0.9968394,0.001255911],"study_design_scores_gemma":[0.0002945224,0.00001424095,0.004240463,0.0002741688,0.00001684506,0.00002297753,0.0001643701,0.0001903453,0.0001227677,0.0009226699,0.9937088,0.0000276762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007459526,0.00001716087,0.0000713874,0.00009727405,0.00005209934,0.00002611667,0.9982961,0.000153715,0.001211585],"genre_scores_gemma":[0.0007212101,0.0000597199,0.0005378654,0.00008308312,0.00002141688,0.0003294649,0.9952867,0.0001732438,0.002787284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2422667,"threshold_uncertainty_score":0.8104628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3473337856455539,"score_gpt":0.401384092021651,"score_spread":0.05405030637609709,"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."}}