{"id":"W4406674891","doi":"10.1016/b978-0-08-009681-0.50009-0","title":"10.1016/b978-0-08-009681-0.50009-0","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refinery; Environmental science; Waste management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008066372,0.001935511,0.001196966,0.001660472,0.001231033,0.004328437,0.002574759,0.003676133,0.9777417],"category_scores_gemma":[0.001421334,0.0006975533,0.0008547136,0.001861853,0.001081242,0.003831815,0.002647129,0.001988116,0.9882161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008243085,"about_ca_system_score_gemma":0.0008129893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002900112,"about_ca_topic_score_gemma":0.002745419,"domain_scores_codex":[0.9995983,0.000023297,0.00002342794,0.0001356773,0.0001444553,0.00007478723],"domain_scores_gemma":[0.9985076,0.0004595442,0.00008595547,0.0001985758,0.0003369731,0.0004113185],"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":[0.0001324314,0.000120383,0.0003425045,0.0004225863,0.00001698978,0.0001239594,0.00008777615,0.0003150125,0.002920165,0.006387173,0.3403912,0.6487398],"study_design_scores_gemma":[0.0000134628,0.00003742764,0.0004167487,0.0001964944,0.000006236995,0.0001856708,0.00006417527,0.0001039979,0.0003264406,0.0008824206,0.9977576,0.000009330108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001857525,0.0004062715,0.001222529,0.0002613212,0.0001745359,0.00004197635,0.0005067069,0.0008814277,0.9963194],"genre_scores_gemma":[0.0004486603,0.000248182,0.0004387926,0.00009276908,0.00002944308,0.00002802822,0.0003490182,0.0002121457,0.9981529],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02225834,"threshold_uncertainty_score":0.03174883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008672962815827774,"score_gpt":0.1666596795696152,"score_spread":0.1579867167537874,"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."}}