{"id":"W1571184876","doi":"10.3133/sir20115084","title":"Cobalt mineral exploration and supply from 1995 through 2013","year":2011,"lang":"en","type":"article","venue":"Scientific investigations report","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cobalt; Mineral exploration; Natural resource economics; Production (economics); Laterite; Investment (military); Business; Mineral resource classification; Supply and demand; Environmental science; Mining engineering; Geology; Nickel; Geochemistry; Economics; Politics; Metallurgy; Political science; Materials science","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":[0.000172142,0.0001051335,0.00009159562,0.00008714764,0.0002553895,0.000178479,0.00006812631,0.00005906579,0.0003997906],"category_scores_gemma":[0.00007734803,0.0001070463,0.00002257201,0.0003376713,0.0002311639,0.001307981,0.00001346114,0.00008692772,0.0001602217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002198006,"about_ca_system_score_gemma":0.00006498249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002294919,"about_ca_topic_score_gemma":0.0003663586,"domain_scores_codex":[0.9990612,0.00001236987,0.0003360726,0.0002641147,0.0001939676,0.0001322769],"domain_scores_gemma":[0.9994102,0.00001652552,0.00007140486,0.0002641067,0.0001412291,0.00009650672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007811678,0.000129511,0.02015828,0.00009194321,0.0001017682,0.0001112686,0.02700882,0.005081984,0.1476098,0.01962283,0.7784908,0.001585169],"study_design_scores_gemma":[0.0004130702,0.00002984466,0.01658912,0.00006486,0.00006917913,0.0002247998,0.001670543,0.03443504,0.1395751,0.1369792,0.6692271,0.0007221129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111453,0.0003861352,0.02064241,0.0005866279,0.003238294,0.000281144,0.00005120227,0.0005918356,0.06307705],"genre_scores_gemma":[0.9686615,0.00004915509,0.01937683,0.00008831388,0.00009330267,0.00006351657,0.0006123935,0.0000188555,0.01103607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1173564,"threshold_uncertainty_score":0.4377427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07134247940205288,"score_gpt":0.2551521094308625,"score_spread":0.1838096300288097,"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."}}