{"id":"W2381380165","doi":"","title":"Discussion on Quality Control of Basic Analysis Samples about Solid Mineral Exploration Abroad","year":2012,"lang":"en","type":"article","venue":"Gold Science and Technology","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Quality (philosophy); Sampling (signal processing); Sample preparation; Computer science; Control (management); Control sample; Process engineering; Environmental science; Mining engineering; Chemistry; Engineering; Chromatography; Artificial intelligence","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":[0.02884256,0.0006456687,0.0005006827,0.001652116,0.003126429,0.003350833,0.002002748,0.002759237,0.002848285],"category_scores_gemma":[0.02428709,0.000353034,0.0008844976,0.001457206,0.003713745,0.002272961,0.001342288,0.002135123,0.0005834806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003999298,"about_ca_system_score_gemma":0.003130702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00764166,"about_ca_topic_score_gemma":0.006825629,"domain_scores_codex":[0.9734151,0.007083622,0.002842408,0.00268122,0.01315323,0.0008243994],"domain_scores_gemma":[0.9759058,0.008959958,0.001886507,0.002223217,0.01068228,0.0003421945],"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":[0.001429005,0.000446382,0.05486285,0.004522537,0.0002247186,0.003375652,0.02148617,0.003575994,0.2767011,0.1071681,0.06205282,0.4641547],"study_design_scores_gemma":[0.00009260308,0.0009401263,0.0402914,0.001029244,0.0002513526,0.003353086,0.006581378,0.003516872,0.3623355,0.02803672,0.5532801,0.0002915941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2500213,0.04518999,0.4731489,0.1224413,0.01302144,0.003594012,0.002655559,0.00232402,0.0876035],"genre_scores_gemma":[0.6991284,0.01234265,0.2021824,0.02716853,0.003917472,0.001347701,0.002588181,0.0005884884,0.05073632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02884256,"threshold_uncertainty_score":0.1525359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350305505963719,"score_gpt":0.2923405690977122,"score_spread":0.268837514038075,"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."}}