{"id":"W4237604633","doi":"10.1515/iupac.73.0559","title":"Quetelet’s Rule","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Mathematics; Political science; Data mining; Law","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":[0.00489724,0.001587353,0.002053478,0.003407196,0.002059982,0.006983192,0.004309154,0.003095265,0.1067005],"category_scores_gemma":[0.0496521,0.0007320302,0.002935913,0.006657557,0.00119857,0.005135254,0.002459924,0.003638353,0.08618315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665775,"about_ca_system_score_gemma":0.006287691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234895,"about_ca_topic_score_gemma":0.03676259,"domain_scores_codex":[0.9921399,0.001525635,0.001087984,0.002866382,0.001619769,0.0007604177],"domain_scores_gemma":[0.9874828,0.00559618,0.0005838785,0.003749827,0.002133959,0.0004534062],"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":[0.0002742217,0.00003776776,0.003786228,0.0008445978,0.0001193378,0.0001021033,0.00004641351,0.00132575,0.00007152872,0.009423522,0.9636173,0.02035123],"study_design_scores_gemma":[0.0004784602,0.00003971637,0.002875198,0.0007704375,0.00009379734,0.0003361617,0.0001181889,0.003969615,0.0003743652,0.03092807,0.959968,0.00004792719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002252069,0.00181385,0.004829844,0.002511257,0.001098772,0.000255544,0.9550852,0.002964328,0.02918916],"genre_scores_gemma":[0.01113349,0.00102972,0.006323624,0.001808509,0.0002195112,0.0005046884,0.9688447,0.0008806792,0.009255162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1067005,"threshold_uncertainty_score":0.3569489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358042298719125,"score_gpt":0.4440501421156619,"score_spread":0.4204697191284706,"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."}}