{"id":"W2549023160","doi":"10.1210/jc.2016-2934","title":"Letter to the Editor: Models Developed Using Small Datasets Should be Appropriately Evaluated","year":2016,"lang":"en","type":"letter","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"","keywords":"Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03786553,0.001056038,0.002805941,0.001321273,0.001653772,0.004264639,0.00393397,0.02270597,0.007809021],"category_scores_gemma":[0.3614048,0.0009596592,0.001943917,0.002132464,0.002460223,0.004649164,0.001610742,0.0269789,0.006284852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358315,"about_ca_system_score_gemma":0.006651102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603866,"about_ca_topic_score_gemma":0.003228276,"domain_scores_codex":[0.9760537,0.01588355,0.003531244,0.00128548,0.002782187,0.0004638228],"domain_scores_gemma":[0.7421819,0.2115345,0.01004387,0.006057242,0.02635917,0.003823333],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001036053,0.00001723554,0.0008029634,0.0003550358,0.0001416459,0.0004327335,0.00007165087,0.0003153883,0.00003128679,0.002280462,0.9819475,0.01350045],"study_design_scores_gemma":[0.001081545,0.0001956888,0.002038842,0.002992529,0.0006094255,0.003245598,0.0003839909,0.00580991,0.0004659162,0.05223579,0.9307366,0.0002041086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002152977,0.001908518,0.0004626615,0.9696642,0.02704959,0.00001486937,0.000201501,0.00004136124,0.0004419709],"genre_scores_gemma":[0.00805206,0.004191367,0.002013749,0.8620151,0.1215811,0.0001493765,0.0001693092,0.0001010581,0.001726989],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9621345,"threshold_uncertainty_score":0.2002545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8820457416687828,"score_gpt":0.5877428752589164,"score_spread":0.2943028664098664,"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."}}