{"id":"W4403985359","doi":"10.3390/pr12112410","title":"Advancing Extractive Metallurgy: Computational Approaches for a Sustainable Future","year":2024,"lang":"en","type":"article","venue":"Processes","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Extractive metallurgy; Computer science; Biochemical engineering; Process engineering; Engineering; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006884857,0.000687396,0.001091713,0.0004773556,0.0007840456,0.002116568,0.001754362,0.002084923,0.007168549],"category_scores_gemma":[0.002477107,0.0004515591,0.000791544,0.0009432242,0.001117112,0.002537326,0.001879496,0.001906621,0.001003275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006256236,"about_ca_system_score_gemma":0.002084286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00745717,"about_ca_topic_score_gemma":0.009349811,"domain_scores_codex":[0.9998196,0.00007079841,0.000006910514,0.00002613563,0.00005548427,0.00002101355],"domain_scores_gemma":[0.9992606,0.0004276195,0.00003975955,0.00008200978,0.0001214017,0.00006864024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005848017,0.00007398053,0.001122826,0.0004028454,0.0001301506,0.00009185924,0.0001228602,0.798729,0.0005902674,0.1568526,0.01245133,0.02937391],"study_design_scores_gemma":[0.00003749621,0.00001994039,0.0002051389,0.00008013829,0.00002293987,0.00002642285,0.0001033993,0.8190147,0.0002894416,0.1584644,0.02171743,0.00001854042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.085387,0.01477156,0.7712207,0.03288341,0.001317098,0.0001342345,0.003028947,0.001871009,0.08938606],"genre_scores_gemma":[0.6347681,0.01396117,0.3236908,0.002145679,0.0007108763,0.0005087104,0.002307152,0.0009207085,0.02098684],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00745717,"threshold_uncertainty_score":0.02398121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700216063925259,"score_gpt":0.2624040522796613,"score_spread":0.2454018916404088,"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."}}