{"id":"W92944650","doi":"10.1007/978-1-59745-008-9_5","title":"Finding Current Best Evidence in Endocrinology","year":2007,"lang":"en","type":"book-chapter","venue":"Contemporary Endocrinology","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Primary care; Best practice; Best evidence; Resource (disambiguation); sort; Medicine; Medical education; Limited resources; Alternative medicine; Psychology; Public relations; Family medicine; Political science; Computer science; Pathology; Law; Risk analysis (engineering)","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001423929,0.0005443371,0.001041814,0.001848906,0.0006073255,0.00001403996,0.0009731624,0.0007283565,0.002951563],"category_scores_gemma":[0.001287602,0.0005314592,0.0001493104,0.0002263169,0.0006257265,0.0003613717,0.0005956777,0.005020803,0.006586739],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040273,"about_ca_system_score_gemma":0.005754903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186638,"about_ca_topic_score_gemma":0.00156278,"domain_scores_codex":[0.9930801,0.0006017192,0.00189595,0.001173344,0.0005637662,0.002685059],"domain_scores_gemma":[0.9940531,0.003412425,0.0007429611,0.0008758091,0.0003460471,0.0005697067],"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":[0.0007115021,0.000284361,0.1686293,0.003312061,0.0000933686,0.00219407,0.00430747,0.000002086569,0.00007118553,0.3096116,0.3178441,0.192939],"study_design_scores_gemma":[0.0006873044,0.0003299828,0.003924729,0.002219692,0.00001025404,0.00003731703,0.0005503619,0.00001148871,0.000007694728,0.005486337,0.9863029,0.0004319083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003529857,0.05973877,0.00009009046,0.004423793,0.01025168,0.002760485,0.00004826171,0.0001638546,0.9189932],"genre_scores_gemma":[0.2102454,0.03258737,0.0002051834,0.00246217,0.003648908,0.0006960696,0.0002226405,0.0001575496,0.7497748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6684588,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.612992334786862,"score_gpt":0.5448257349639241,"score_spread":0.06816659982293793,"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."}}