{"id":"W2255262328","doi":"","title":"HYPERDIVERSITY IN HEALTH CARE: COMPARATIVE PERSPECTIVES FROM THE U.S., CANADA AND EUROPE (PART 1)","year":2015,"lang":"en","type":"article","venue":"2015 Annual Meeting","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Health care; Economic growth; Economics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009771959,0.0001408876,0.0003561422,0.00003151226,0.000743432,0.000008871713,0.0001859344,0.00006059019,0.00004204668],"category_scores_gemma":[0.0003882396,0.0001033305,0.00001665829,0.0001764019,0.00006854536,0.0001362433,0.0002796622,0.0005817561,0.00004675216],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292806,"about_ca_system_score_gemma":0.005900837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9184709,"about_ca_topic_score_gemma":0.9396812,"domain_scores_codex":[0.9973752,0.00118775,0.0003834572,0.0002826071,0.0002856001,0.000485344],"domain_scores_gemma":[0.9980376,0.0008773669,0.0002041818,0.0002042825,0.0003975215,0.0002790202],"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":[0.00005530799,0.000008965813,0.2271178,0.00003376015,0.00001066826,0.000007567182,0.1734597,0.000005912498,8.750175e-7,0.0001645339,0.5988743,0.0002606126],"study_design_scores_gemma":[0.0006150926,0.00004828814,0.1200236,0.00007586554,0.000005235935,5.113408e-7,0.3643967,0.000005155919,0.00000102535,0.00003089218,0.5146956,0.0001019533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8812211,0.01765466,0.000002602567,0.05707785,0.001255351,0.0007497036,0.0005752466,0.00006013269,0.04140339],"genre_scores_gemma":[0.9702775,0.0002893966,0.0003447392,0.02712782,0.0007645214,0.00001924774,0.00005639838,0.00001861812,0.001101702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.190937,"threshold_uncertainty_score":0.9997348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07286423842662854,"score_gpt":0.3864490704302524,"score_spread":0.3135848320036239,"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."}}