{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002511015,0.0001434861,0.0001626877,0.001304443,0.0005256099,0.000900623,0.0003940552,0.0001709406,0.0045369],"category_scores_gemma":[0.001217478,0.0001597524,0.0001601058,0.00210639,0.0002270165,0.0005152318,0.0009472363,0.0003548612,0.001068266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087855,"about_ca_system_score_gemma":0.002010241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1175707,"about_ca_topic_score_gemma":0.2305254,"domain_scores_codex":[0.9996819,0.00001494045,0.0000237208,0.0000596503,0.0001553111,0.00006452572],"domain_scores_gemma":[0.9991857,0.0000592756,0.0002720765,0.00002284716,0.0003673203,0.00009274045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000328967,0.00009445524,0.8973515,0.0002539576,0.00006094477,0.0007771273,0.001748936,0.0007535475,0.001254136,0.0006757794,0.0136049,0.0830958],"study_design_scores_gemma":[0.000008298358,0.00007579792,0.9310831,0.00009091891,0.00001909069,0.0003559419,0.002421387,0.0003659473,0.0009640578,0.0001513234,0.06445418,0.000009932373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943657,0.001341823,0.000379033,0.0006956577,0.00003413028,0.00005613555,0.02130107,0.0000853977,0.03244975],"genre_scores_gemma":[0.9484743,0.002160387,0.0007000242,0.00017257,0.00005355154,0.00007493351,0.02075926,0.0000408668,0.02756398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1175707,"threshold_uncertainty_score":0.2337728,"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."}}