{"id":"W2280016091","doi":"10.1371/journal.pone.0074164.t002","title":"Regions exceeding cluster extent threshold (binge drinkers &gt; healthy volunteers).","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Binge drinking; Cluster (spacecraft); Medicine; Environmental health; Poison control; Human factors and ergonomics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000467084,0.0005870767,0.0005724811,0.0008523336,0.0005485435,0.0007315637,0.0003855648,0.0005191047,0.06820282],"category_scores_gemma":[0.002230279,0.0002010546,0.0003910364,0.001067323,0.0003058086,0.0006245753,0.0008478679,0.0004184188,0.006887514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002717289,"about_ca_system_score_gemma":0.0007712248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01488288,"about_ca_topic_score_gemma":0.03423368,"domain_scores_codex":[0.9998347,0.00001416192,0.00001217131,0.00007147089,0.0000314077,0.00003602072],"domain_scores_gemma":[0.9995542,0.0001671537,0.00006316824,0.0001001638,0.00006331226,0.00005200555],"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":[0.007036451,0.0002254595,0.08423657,0.00261051,0.0008811275,0.003027439,0.001744862,0.002195335,0.02888086,0.008926758,0.6740816,0.186153],"study_design_scores_gemma":[0.0003549169,0.0003560837,0.8305312,0.0005452015,0.0005418454,0.004573437,0.0009619942,0.002315392,0.006634168,0.01283969,0.1402463,0.00009990152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4331274,0.003936451,0.03105036,0.001483204,0.001534355,0.00122437,0.3884241,0.007471628,0.131748],"genre_scores_gemma":[0.8353396,0.0009570417,0.01803139,0.0004878043,0.0001391863,0.001305264,0.08889192,0.001935941,0.05291187],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06820282,"threshold_uncertainty_score":0.2281612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061962012617746,"score_gpt":0.33263408394514,"score_spread":0.2264378826833653,"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."}}