{"id":"W2283537407","doi":"","title":"Ridesharing in North America: Past, Present, and Future","year":2011,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Davis","keywords":"Interoperability; Incentive; Business; The Internet; Casual; Computer science; Economics; Political science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002662259,0.000164018,0.0001400261,0.0001576207,0.00003582406,0.0001785007,0.0001444861,0.00006596385,0.0002646506],"category_scores_gemma":[0.000004777555,0.0001663757,0.00003839832,0.000573457,0.0000444386,0.002057226,0.00002857804,0.0002861764,0.0001877413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001081164,"about_ca_system_score_gemma":0.00001151876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003200338,"about_ca_topic_score_gemma":0.00001151326,"domain_scores_codex":[0.9991629,0.000008403447,0.0002924604,0.0001967793,0.0001017328,0.0002377585],"domain_scores_gemma":[0.999634,0.00001928137,0.0000260283,0.0001832355,0.00001237569,0.0001250338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001959691,0.00007758099,0.973029,0.00006394966,0.00002581478,0.00002276813,0.0003097491,0.0000912331,0.00002501356,0.0007832669,0.00105881,0.0244932],"study_design_scores_gemma":[0.000275743,0.00001597981,0.6723774,0.00001388002,0.000005473943,0.000002708229,0.0001083918,0.0002110747,0.0002477254,0.0006825184,0.3258218,0.0002372731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750038,0.0001425962,0.0002248794,0.0002234334,0.00009901103,0.0001887633,0.001017102,0.0005422835,0.02255815],"genre_scores_gemma":[0.9980982,0.0000370787,0.0008659846,0.0001387169,0.0002087502,0.00002830446,0.0005066541,0.00004379858,0.00007251943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.324763,"threshold_uncertainty_score":0.6784604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466788175648787,"score_gpt":0.188365175754157,"score_spread":0.1736972939976691,"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."}}