{"id":"W4243238471","doi":"10.1016/b978-008044584-7/50002-5","title":"Induction charging of non-spherical granular materialsSize analysis","year":2004,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Volume (thermodynamics); Particle (ecology); Particle size; Materials science; Surface charge; Charge (physics); Analytical Chemistry (journal); Mechanics; Molecular physics; Chemistry; Physics; Thermodynamics; Chromatography","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":[0.000196236,0.0002533515,0.0003308554,0.0005072511,0.0002502729,0.0006548504,0.0005669105,0.0002416734,0.005388078],"category_scores_gemma":[0.0003721875,0.0002026545,0.0003944814,0.0006259442,0.0003246655,0.0005893692,0.0004805596,0.0005077142,0.0009149793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005496547,"about_ca_system_score_gemma":0.0002348705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005187236,"about_ca_topic_score_gemma":0.0005938814,"domain_scores_codex":[0.9998275,0.00001976803,0.00000581206,0.00001956435,0.0001051803,0.00002213156],"domain_scores_gemma":[0.9998478,0.00006415101,0.000009218352,0.00003634452,0.00003616256,0.000006375885],"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":[0.0003920407,0.000144737,0.001458297,0.000667372,0.00005756778,0.0002975063,0.0002219568,0.08663157,0.4434254,0.166314,0.006762864,0.2936266],"study_design_scores_gemma":[0.00001616321,0.00008346388,0.004254261,0.00002247002,0.0000211784,0.000264138,0.0001010803,0.6429416,0.2902993,0.0428998,0.01906585,0.00003073186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029258,0.001444927,0.8418993,0.0001893673,0.000220354,0.0001022611,0.000291846,0.001152489,0.05177366],"genre_scores_gemma":[0.8852311,0.000926558,0.06625579,0.00007557425,0.00006286465,0.00008283048,0.0005711402,0.0004427162,0.0463513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005388078,"threshold_uncertainty_score":0.01802492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026355996351489,"score_gpt":0.2278937771800397,"score_spread":0.2176302172165248,"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."}}