{"id":"W6966496585","doi":"10.3886/e115490","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001977999,0.0009301386,0.001107533,0.000339179,0.0004135971,0.001109567,0.008835186,0.0003197415,0.0004494801],"category_scores_gemma":[0.001132035,0.0007729051,0.00004911911,0.0009077307,0.000417105,0.002944675,0.003978358,0.0006306382,0.0007580716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001596912,"about_ca_system_score_gemma":0.0006246284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007836395,"about_ca_topic_score_gemma":0.007167968,"domain_scores_codex":[0.9919742,0.00009515399,0.0009685366,0.004999673,0.001061693,0.0009007695],"domain_scores_gemma":[0.97564,0.0002787881,0.0009105419,0.02237449,0.0002631673,0.0005329911],"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":[0.0008628842,0.0001708659,0.00001722088,0.0008294109,0.0005958061,0.00004209326,0.0000575786,3.123712e-7,0.0001261856,0.0001173764,0.996524,0.0006562397],"study_design_scores_gemma":[0.002880444,0.000249162,0.00005100826,0.0002643203,0.001452345,0.0001448295,0.00005495446,0.001181932,0.00006452271,0.00002558743,0.9925989,0.001031993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005509962,0.0002689921,0.001909597,0.004632195,0.0001227834,0.00340063,0.9893408,0.0002638339,0.000006048296],"genre_scores_gemma":[0.00006122266,0.0006121249,0.008972392,0.002009143,0.0003962058,0.0003742871,0.9872668,0.0002647639,0.00004304177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01737481,"threshold_uncertainty_score":0.9999274,"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."}}