{"id":"W7058277095","doi":"","title":"Mineral reserves classification and reporting","year":2024,"lang":"en","type":"article","venue":"UPM Digital Archive (Technical University of Madrid)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute of Mining, Metallurgy and Petroleum","keywords":"Comparability; Mineral resource classification; Resource (disambiguation); Investment (military); Process (computing); Mineral exploration","routes":{"ca_aff":false,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000142272,0.00007594323,0.0001283498,0.0001007237,0.00006348707,0.00007149833,0.0001516112,0.00002042472,0.003345634],"category_scores_gemma":[0.00004848574,0.00007671818,0.00008538839,0.0001292965,0.0002169294,0.0000809276,0.0003073123,0.000155832,0.00001781807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004935644,"about_ca_system_score_gemma":0.00005019588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001887317,"about_ca_topic_score_gemma":0.0000368293,"domain_scores_codex":[0.9991975,0.00001886807,0.0002291408,0.0002413883,0.0001737065,0.0001393665],"domain_scores_gemma":[0.9994518,0.0001576315,0.0001103759,0.0001629996,0.00003419646,0.00008303257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000103408,0.0002256503,0.08767805,0.0001690809,0.0000857493,0.0000856087,0.000284593,0.000003846447,0.04365424,0.1207829,0.03511288,0.711814],"study_design_scores_gemma":[0.0006510171,0.0003119464,0.6233034,0.0002781673,0.0000532393,0.00001048275,0.002517319,0.007969151,0.000524122,0.01572162,0.3482506,0.0004089857],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5422239,0.00002441394,0.006231903,0.001428451,0.00002239245,0.0001765171,0.00009244978,0.00006957066,0.4497304],"genre_scores_gemma":[0.9906383,0.000004831854,0.0008840974,0.000002490065,0.00003081365,4.886144e-7,0.00005880716,0.000005085271,0.008375126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.711405,"threshold_uncertainty_score":0.9975654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783164507972121,"score_gpt":0.2561533652555054,"score_spread":0.2283217201757841,"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."}}