{"id":"W6884627628","doi":"10.11575/prism/40475","title":"Market Disruption within City of Calgary’s Rideshare Industry: Transportation Network Companies vs. Taxis","year":2020,"lang":"en","type":"other","venue":"University of Calgary","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Taxis; Flow network; Public transport; Government (linguistics); Aviation","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":[],"consensus_categories":[],"category_scores_codex":[0.0006832608,0.0005745988,0.0004571152,0.001830721,0.001438261,0.006902655,0.001939138,0.001839189,0.02727771],"category_scores_gemma":[0.004151808,0.000341883,0.0005847159,0.005302572,0.0008275668,0.002469276,0.002724096,0.00241512,0.002870645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01734523,"about_ca_system_score_gemma":0.01408143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8344843,"about_ca_topic_score_gemma":0.8682835,"domain_scores_codex":[0.9990073,0.00007569332,0.00002206514,0.00008883099,0.0002957432,0.0005105011],"domain_scores_gemma":[0.9967107,0.0003287265,0.0007739441,0.00008293572,0.001085995,0.001017726],"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":[0.001404113,0.000368913,0.1871196,0.000493548,0.0002360036,0.001032174,0.00183703,0.01512459,0.0005085299,0.02868908,0.6876619,0.07552449],"study_design_scores_gemma":[0.000171546,0.0002003571,0.7068849,0.000407286,0.0001763628,0.000141118,0.02375621,0.01411213,0.0008954022,0.005040463,0.2481252,0.00008914276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5635601,0.007811321,0.0007944556,0.04667904,0.001001663,0.0002083325,0.1127319,0.0003532851,0.2668599],"genre_scores_gemma":[0.8801574,0.0030145,0.0002511456,0.002896126,0.0002044952,0.00008264228,0.02789811,0.0001953249,0.08530028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8344843,"threshold_uncertainty_score":0.3329808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521005971506454,"score_gpt":0.2060518536904334,"score_spread":0.1908417939753689,"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."}}