{"id":"W1503035345","doi":"10.1002/9780813823621.ch17","title":"Statistics of Sampling and Sample Preparation","year":2010,"lang":"en","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sampling (signal processing); Lot quality assurance sampling; Statistics; Sample (material); Sampling design; Quality assurance; Systematic sampling; Multistage sampling; Computer science; Mathematics; Engineering; Sociology; Chromatography; Chemistry; Operations management","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":[0.03858517,0.001386975,0.002221389,0.005123443,0.001596103,0.004437589,0.002347725,0.001286014,0.03095743],"category_scores_gemma":[0.2077457,0.001120937,0.001602537,0.008593363,0.001993924,0.002947249,0.002401408,0.00381378,0.01557351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003833598,"about_ca_system_score_gemma":0.00881013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00674117,"about_ca_topic_score_gemma":0.006252896,"domain_scores_codex":[0.923227,0.03427241,0.007678721,0.007128965,0.02637845,0.001314506],"domain_scores_gemma":[0.8031251,0.1258931,0.009880094,0.02911794,0.03099197,0.0009917089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006164403,0.0002393138,0.0255552,0.002601368,0.0002468738,0.0002136959,0.001746578,0.01371823,0.002809366,0.1121747,0.233594,0.6064842],"study_design_scores_gemma":[0.0001368665,0.0007333446,0.03604678,0.001636849,0.0002106123,0.0004597601,0.001589165,0.02693835,0.01065427,0.1126909,0.8086792,0.000223803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01003692,0.001916347,0.8563741,0.001954773,0.002163865,0.01155782,0.06350464,0.005728964,0.04676257],"genre_scores_gemma":[0.06499728,0.004331924,0.7623159,0.002073999,0.001315765,0.03041722,0.07390885,0.004932899,0.05570619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03858517,"threshold_uncertainty_score":0.2040603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439377385009607,"score_gpt":0.2647029821403615,"score_spread":0.2503092082902655,"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."}}