{"id":"W2304031919","doi":"10.1056/nejmp1512206","title":"Uber’s Message for Health Care","year":2016,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Health care; Medical care; Public relations; Nursing; Economic growth; Political science; Economics","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":[0.007506888,0.00107162,0.001108334,0.00101629,0.004124004,0.008925048,0.001993357,0.03948965,0.06583014],"category_scores_gemma":[0.0365172,0.0004129794,0.001180483,0.0009370472,0.004484575,0.01065427,0.004459304,0.03566313,0.02515066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003612193,"about_ca_system_score_gemma":0.007512063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005964,"about_ca_topic_score_gemma":0.01145658,"domain_scores_codex":[0.9950848,0.001167635,0.0002097219,0.0006006951,0.002152273,0.0007847815],"domain_scores_gemma":[0.9892479,0.004538863,0.0005468073,0.0006992231,0.002452021,0.002515209],"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":[0.00002906363,0.00001186394,0.00005810905,0.00002687052,0.000003384463,0.00003308763,0.00004720522,0.00001321914,0.00003921763,0.01395167,0.9794788,0.006307534],"study_design_scores_gemma":[0.00002360737,0.00001568097,0.0002622373,0.0001387415,0.000005669692,0.00004584357,0.0001172992,0.00004570188,0.0000595449,0.006054332,0.9932139,0.00001736808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001092135,0.002406582,0.0001454686,0.9658414,0.0227911,0.000005405077,0.0001366877,0.00007114049,0.008492929],"genre_scores_gemma":[0.003022727,0.002182009,0.0003639151,0.9378321,0.02318351,0.00002660791,0.0001127533,0.00006124405,0.0332152],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06583014,"threshold_uncertainty_score":0.2202238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06441006312412344,"score_gpt":0.3372274180326998,"score_spread":0.2728173549085764,"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."}}