{"id":"W6923383647","doi":"10.1371/journal.pone.0198177.g003","title":"Proximate composition.","year":2018,"lang":"en","type":"other","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interquartile range; Quartile; Glycogen; Black box","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002552485,0.0007231144,0.0003286147,0.001489234,0.0004840255,0.0006126606,0.0005209481,0.0002378332,0.05978507],"category_scores_gemma":[0.0003540551,0.0002059772,0.000307062,0.002002909,0.000208035,0.0001986159,0.0003476614,0.0004496955,0.01743396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008995034,"about_ca_system_score_gemma":0.001069595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1667583,"about_ca_topic_score_gemma":0.350849,"domain_scores_codex":[0.9997818,0.000006401882,0.000005602009,0.00005307633,0.0001326953,0.00002046404],"domain_scores_gemma":[0.9998159,0.00001140148,0.00002302628,0.00001863815,0.00008488919,0.00004628961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001346223,0.0004007003,0.2076681,0.001223242,0.0005221579,0.0003684011,0.0011797,0.002300834,0.06233152,0.003656829,0.3216349,0.3973674],"study_design_scores_gemma":[0.00002196906,0.00009734613,0.8186524,0.00005888068,0.00005358468,0.0001920944,0.0002542732,0.0004672396,0.002656946,0.0004899602,0.1770241,0.00003125156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1820399,0.004845103,0.01078557,0.0003580334,0.0004553109,0.0003980546,0.6596407,0.002556128,0.1389213],"genre_scores_gemma":[0.340367,0.002808109,0.02848128,0.0002271553,0.00007192646,0.0004233425,0.354135,0.0007305549,0.2727555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9402149,"threshold_uncertainty_score":0.3315755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06418680516467953,"score_gpt":0.2158900136374604,"score_spread":0.1517032084727809,"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."}}