{"id":"W3034772627","doi":"10.1016/j.powtec.2020.06.007","title":"Effect of hammer and pin milling on triboelectrostatic separation of legume flour","year":2020,"lang":"en","type":"article","venue":"Powder Technology","topic":"Food composition and properties","field":"Nursing","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Hammer; Starch; Separator (oil production); Composite material; Nozzle; Metallurgy; Chemistry; Food science; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006908993,0.00007543461,0.000190139,0.0001199672,0.00002890589,0.000004288176,0.00006074928,0.00008922703,0.00001762371],"category_scores_gemma":[0.0000805142,0.00006436,0.00002540801,0.0001955245,0.00008123889,0.00002820081,0.00001608392,0.0001166166,0.000008161762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007759642,"about_ca_system_score_gemma":0.000004414342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008165405,"about_ca_topic_score_gemma":0.000001265607,"domain_scores_codex":[0.9994864,0.0000654856,0.000156593,0.0001230756,0.00006568255,0.0001027989],"domain_scores_gemma":[0.9997367,0.00006433851,0.00006618271,0.00008961344,0.00002508236,0.00001809818],"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":[0.001987934,0.00002554187,0.0005327104,0.0002108459,0.00002901021,0.000001321235,0.0006229574,0.00003781973,0.9524019,0.0004229574,0.000403968,0.04332308],"study_design_scores_gemma":[0.0005772586,0.01048572,0.00004579109,0.00003990977,0.00002426996,0.000005192926,0.00004469955,0.001730243,0.9860665,0.000245315,0.0006769202,0.00005817721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875455,0.0006205073,0.0001024845,0.01116914,0.00006101252,0.000148113,0.00000289047,0.00007981658,0.0002705534],"genre_scores_gemma":[0.9994455,0.000008169665,0.0001680714,0.0003390465,0.00001177478,0.000007380539,0.00000355758,0.000009134603,0.000007390931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04326491,"threshold_uncertainty_score":0.2624525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168891596393504,"score_gpt":0.2749456416051143,"score_spread":0.2632567256411793,"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."}}