{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006916033,0.0001078482,0.0002553931,0.001132827,0.00009629364,0.00001496902,0.0003125769,0.0001425251,0.000008541621],"category_scores_gemma":[0.0002917287,0.00007417177,0.00003171477,0.002654022,0.0009011228,0.0003782506,0.00006134883,0.0001262496,0.000007588938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000312676,"about_ca_system_score_gemma":0.00002419406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002496037,"about_ca_topic_score_gemma":0.00004430898,"domain_scores_codex":[0.9989063,0.0000120131,0.0002278829,0.000222888,0.0002236665,0.0004072465],"domain_scores_gemma":[0.999409,0.00003165067,0.00006392814,0.0003525034,0.00008306112,0.00005984756],"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":[0.00001184044,0.0001163899,0.1834323,0.00002958973,0.00006910357,0.00000112399,0.0008065825,0.0008225622,0.6285742,0.07099415,0.0003462156,0.114796],"study_design_scores_gemma":[0.002058113,0.000999483,0.4408146,0.0001165836,0.0004563438,0.0000260289,0.006335837,0.05536651,0.4673695,0.01581314,0.009289269,0.00135451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989575,0.0001579442,0.008299286,0.001023627,0.0001672955,0.00008714481,0.000008028788,0.0002820337,0.0003995853],"genre_scores_gemma":[0.9991509,0.00004321458,0.0006877685,0.00003766363,0.00001585535,0.00002042006,0.000001873501,0.000004474159,0.00003782401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2573824,"threshold_uncertainty_score":0.3320225,"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."}}