{"id":"W2811341714","doi":"","title":"Cobalt supply: : Alternatives and additions","year":2016,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cobalt; Cobalt extraction techniques; Tonne; Environmental science; Waste management; Natural resource economics; Mining engineering; Chemistry; Metallurgy; Engineering; Materials science; Economics","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":[0.0007109034,0.000543247,0.000310471,0.002171647,0.001406849,0.00495267,0.001265181,0.001405338,0.08457615],"category_scores_gemma":[0.001106363,0.0002571616,0.0003804619,0.002313744,0.001039211,0.004447419,0.002347592,0.001489691,0.01478948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003904039,"about_ca_system_score_gemma":0.002584357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007992281,"about_ca_topic_score_gemma":0.0253786,"domain_scores_codex":[0.999064,0.0000752175,0.0000427637,0.0001324903,0.0005262528,0.0001592055],"domain_scores_gemma":[0.9994037,0.00004630501,0.00006051188,0.00004598933,0.0002493889,0.0001940743],"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":[0.0005804861,0.0006481774,0.001734265,0.002895585,0.00003213234,0.001395379,0.000598875,0.0008353234,0.0082134,0.1431608,0.1645049,0.6754007],"study_design_scores_gemma":[0.00002189144,0.0001141354,0.0004397347,0.0003887355,0.000009507092,0.0004456938,0.0004182475,0.0001308162,0.001805317,0.005894188,0.990319,0.00001274537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02681415,0.06294725,0.005478378,0.03526977,0.004198818,0.0002023471,0.0008274365,0.0004552372,0.8638066],"genre_scores_gemma":[0.2341728,0.09939878,0.01337257,0.00919521,0.003480017,0.0001500295,0.001330949,0.0004133885,0.6384863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08457615,"threshold_uncertainty_score":0.2829354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04352147180640222,"score_gpt":0.2552376846843147,"score_spread":0.2117162128779125,"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."}}