{"id":"W7100544163","doi":"","title":"Nickel and Cobalt Recovery from Mesaba","year":2009,"lang":"en","type":"article","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cobalt; Nickel; Process (computing); Technology transfer; Technology development","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":[0.0001885967,0.0002743417,0.0002833374,0.0004637555,0.0004548873,0.0005162674,0.0003247394,0.0002848398,0.006643057],"category_scores_gemma":[0.0003323038,0.000119119,0.000157767,0.0003814531,0.0002146647,0.0003584402,0.0004112567,0.0004214708,0.001791572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005791512,"about_ca_system_score_gemma":0.0005947472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009601074,"about_ca_topic_score_gemma":0.02857521,"domain_scores_codex":[0.9998024,0.00001321701,0.00001066797,0.00003538951,0.00008793168,0.00005036828],"domain_scores_gemma":[0.9999259,0.000009795865,0.000005983903,0.00001262496,0.00003514166,0.00001056688],"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":[0.0006843733,0.00008869905,0.0007722459,0.0004368127,0.00002735952,0.0004429572,0.0001275135,0.00105997,0.9718711,0.001669168,0.002944398,0.01987551],"study_design_scores_gemma":[0.00002059375,0.00009367825,0.001070267,0.00002479345,0.0000150951,0.0000829781,0.00008119812,0.001186582,0.9761988,0.0001467736,0.02107196,0.000007212931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8831832,0.004745863,0.008972187,0.001042318,0.0003175624,0.0001418895,0.001796623,0.000754388,0.09904589],"genre_scores_gemma":[0.9397724,0.0009771932,0.001725099,0.0001066656,0.00001402172,0.00002111706,0.0007095616,0.00009681338,0.05657718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009601074,"threshold_uncertainty_score":0.02222323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00912854318645235,"score_gpt":0.2067067930051145,"score_spread":0.1975782498186621,"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."}}