{"id":"W4242880557","doi":"10.3410/f.11521.469001","title":"Faculty Opinions recommendation of Application of a latent class analysis to empirically define eating disorder phenotypes.","year":2006,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"","keywords":"Latent class model; Class (philosophy); Psychology; Phenotype; Computer science; Clinical psychology; Statistics; Mathematics; Artificial intelligence; Biology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.004569114,0.003091712,0.001602974,0.004912629,0.0009436265,0.003180397,0.004117362,0.002714311,0.08041329],"category_scores_gemma":[0.02041297,0.0009209242,0.002109289,0.00434078,0.0004747855,0.001472683,0.002697264,0.002666769,0.0924691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602247,"about_ca_system_score_gemma":0.003380268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02639984,"about_ca_topic_score_gemma":0.08338045,"domain_scores_codex":[0.9981383,0.0004090224,0.0002043298,0.0004731165,0.0005397428,0.000235506],"domain_scores_gemma":[0.9913028,0.002148027,0.000435649,0.002525943,0.002423581,0.001163861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007231185,0.00006681003,0.001350976,0.0001360748,0.00002692458,0.00001023257,0.000007931228,0.0001206766,0.00005573782,0.00009652654,0.994699,0.003356853],"study_design_scores_gemma":[0.001470333,0.00008432061,0.02427366,0.0003539681,0.000127639,0.0001245081,0.0001149058,0.006956143,0.001277567,0.001846242,0.9632897,0.00008098956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005366251,0.0000469008,0.0004288141,0.000350787,0.0001691918,0.000108776,0.9949822,0.00147509,0.001901745],"genre_scores_gemma":[0.0008591659,0.00003196468,0.001437446,0.00009011699,0.00002537592,0.0001714452,0.9952011,0.0001305633,0.00205275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08041329,"threshold_uncertainty_score":0.2690092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293219949620267,"score_gpt":0.3801280083821913,"score_spread":0.3508060134201646,"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."}}