{"id":"W4236805062","doi":"10.12927/hcq.2018.25628","title":"Highlights from the 2018 Ted Freedman Awards","year":2018,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Freedman; Bust; Portrait; Management; Health care; Political science; Library science; Art; Engineering; Art history; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004570754,0.0002759757,0.0003391756,0.0001707448,0.0007584659,0.0002088631,0.0006305126,0.0003068599,0.000336566],"category_scores_gemma":[0.00004167739,0.0001893887,0.00009696123,0.000583389,0.0002246464,0.0004502182,0.00006476538,0.0003371492,0.003513609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007724451,"about_ca_system_score_gemma":0.000122653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1831498,"about_ca_topic_score_gemma":0.06725911,"domain_scores_codex":[0.9977421,0.00006507306,0.0005756862,0.0005439531,0.0003715775,0.0007016176],"domain_scores_gemma":[0.9981979,0.00007759012,0.0003004759,0.000961664,0.0004157208,0.00004663095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008182816,0.0001042319,0.03867247,0.0004123844,0.00008395647,0.00005392051,0.001783931,5.163768e-8,0.0002342353,0.3369635,0.2754405,0.3461689],"study_design_scores_gemma":[0.0003806713,0.0002227997,0.07443051,0.0001047947,0.0000172711,0.000005556292,0.001096958,0.0001403631,0.00001437416,0.01313811,0.9101887,0.0002598631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7101007,0.0007051682,0.0005026488,0.2710961,0.006068924,0.001066139,0.00006038841,0.001302998,0.009096934],"genre_scores_gemma":[0.975755,0.000007063666,0.0001081299,0.01242223,0.01129089,0.00005763119,0.00005010716,0.00004883924,0.0002601208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6347482,"threshold_uncertainty_score":0.9972623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333592379382314,"score_gpt":0.2637505098053594,"score_spread":0.2404145860115362,"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."}}