{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00291903,0.0009515247,0.001141203,0.0004724876,0.0003527832,0.001075615,0.009216116,0.0003885994,0.00066752],"category_scores_gemma":[0.0007575995,0.0007686269,0.00004956939,0.000704207,0.0003882415,0.003526094,0.003631122,0.000582853,0.0009295763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909939,"about_ca_system_score_gemma":0.0006392112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009509103,"about_ca_topic_score_gemma":0.007196094,"domain_scores_codex":[0.9919072,0.00009288314,0.0009535778,0.004933588,0.001094855,0.001017884],"domain_scores_gemma":[0.9656357,0.0003362375,0.001008293,0.03233683,0.0003220075,0.0003609553],"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":[0.0007519661,0.0002099358,0.00004081395,0.0008819212,0.0005577387,0.00001615415,0.00003721263,6.489583e-7,0.0001101425,0.00009860563,0.9967684,0.000526458],"study_design_scores_gemma":[0.003325982,0.0002335663,0.00009313325,0.0003567092,0.001336128,0.0001602509,0.00004553783,0.00114562,0.0000495933,0.00001945215,0.9921394,0.001094623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001923116,0.000370584,0.001378366,0.001666449,0.0002008733,0.004326125,0.9916877,0.000168159,0.000009399178],"genre_scores_gemma":[0.00008326821,0.0005782017,0.005903147,0.00103763,0.0002939344,0.0003230489,0.9913328,0.000273487,0.0001744261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02740324,"threshold_uncertainty_score":0.9999614,"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."}}