{"id":"W2283207998","doi":"","title":"Comparison of different rice milling methods","year":2004,"lang":"en","type":"article","venue":"","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water content; Mathematics; Forestry; Pulp and paper industry; Environmental science; Engineering; Geography","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":[0.001911096,0.0007207505,0.00060613,0.001631499,0.0004204552,0.0007385052,0.0006631571,0.0003606918,0.002962246],"category_scores_gemma":[0.002621912,0.0003002159,0.0008377542,0.001541853,0.0002883471,0.000426418,0.0004976336,0.000663517,0.001070195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003365274,"about_ca_system_score_gemma":0.0003326401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009676919,"about_ca_topic_score_gemma":0.003895983,"domain_scores_codex":[0.9983361,0.0003344235,0.0002776903,0.0002800025,0.0006560835,0.0001157541],"domain_scores_gemma":[0.9982691,0.000727166,0.000206169,0.0001625982,0.0005742647,0.00006069816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002739369,0.0002879287,0.007607014,0.002600435,0.0002495894,0.0001779537,0.000515247,0.001238955,0.6806774,0.0003727413,0.0009975453,0.3025357],"study_design_scores_gemma":[0.000160307,0.005150205,0.05591676,0.0001970196,0.0007503365,0.0007428902,0.0008002066,0.002853569,0.8939607,0.0003752887,0.03894992,0.0001427853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805273,0.02334684,0.08253946,0.0004492699,0.0007340428,0.0008186523,0.001425356,0.0007703241,0.009388809],"genre_scores_gemma":[0.7536873,0.01220788,0.217912,0.0003064208,0.0001280503,0.0004411676,0.001497984,0.0003987083,0.0134205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002962246,"threshold_uncertainty_score":0.01010692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284936263899503,"score_gpt":0.3963684958103485,"score_spread":0.2678748694203982,"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."}}