{"id":"W3085750117","doi":"10.1016/j.shpsa.2020.08.005","title":"Countering medical nihilism by reconnecting facts and values","year":2020,"lang":"en","type":"article","venue":"Studies in History and Philosophy of Science Part A","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System; University of Guelph; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"","keywords":"Nihilism; Pessimism; Epistemology; Argument (complex analysis); Frequentist inference; Philosophy of medicine; Psychology; Positive economics; Bayesian probability; Philosophy; Bayesian inference; Medicine; Economics; Computer science; Alternative medicine","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.004842334,0.0001177119,0.0003594215,0.00008225664,0.0008307832,0.000003272721,0.0001989267,0.00008475601,0.00005315399],"category_scores_gemma":[0.008566679,0.0001067376,0.00001551255,0.0002092883,0.003595416,0.0004326637,0.0003356088,0.0005527537,0.00000636977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513345,"about_ca_system_score_gemma":0.0004040338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414164,"about_ca_topic_score_gemma":0.00004711904,"domain_scores_codex":[0.9977127,0.0004905683,0.0005533693,0.0004208641,0.0004861836,0.0003362834],"domain_scores_gemma":[0.9976468,0.001513672,0.0002691492,0.0001232558,0.0001562631,0.0002908239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002314962,0.0001116419,0.129687,0.00682458,0.00006439193,0.0000361503,0.8138733,0.000001178193,0.001549385,0.01299052,0.02657192,0.008058458],"study_design_scores_gemma":[0.003994795,0.001777939,0.01377665,0.009243571,0.00008599191,0.00003466939,0.251607,0.0009718393,0.0002751282,0.05923252,0.6573851,0.001614856],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283258,0.02810123,0.000005451298,0.03141821,0.001986868,0.0003099442,0.000009625309,0.00003800608,0.009804916],"genre_scores_gemma":[0.9886763,0.003269186,0.00008970371,0.007554049,0.0003559227,0.00001759922,4.763756e-7,0.000006590933,0.00003014273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6308131,"threshold_uncertainty_score":0.9997846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7587909849702787,"score_gpt":0.5466998385440458,"score_spread":0.2120911464262329,"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."}}