{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001113616,0.0001363388,0.0001191938,0.0001218815,0.0001117942,0.0002289315,0.00007138676,0.00005829846,0.00008042547],"category_scores_gemma":[0.00009859313,0.0001272671,0.00004252693,0.0004071022,0.00001626603,0.001062545,0.000007748691,0.0001144416,0.00002620151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000054518,"about_ca_system_score_gemma":0.0001728889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.373391e-7,"about_ca_topic_score_gemma":0.000006921664,"domain_scores_codex":[0.9992955,0.000005205028,0.0001568842,0.0001936591,0.0001229168,0.0002258524],"domain_scores_gemma":[0.9994419,0.0002123937,0.00001819585,0.00005115585,0.0002249707,0.00005134129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000598327,0.0001283354,0.00001891519,0.04300847,0.0003977743,0.00003859216,0.004166417,0.7516753,0.0002958254,0.1179751,0.04660415,0.03563128],"study_design_scores_gemma":[0.0001174295,0.00002344578,0.00001105459,0.00004229406,0.0000354423,0.00002455634,0.003746609,0.1983131,0.00213064,0.02549548,0.7698429,0.0002170817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001361768,0.03781435,0.9277225,0.0007776364,0.0004171852,0.0004578671,0.00001596415,0.001455037,0.0299777],"genre_scores_gemma":[0.9842806,0.0004625338,0.008654367,0.00006666995,0.0005060282,0.0004016168,0.00008053193,0.00005542991,0.005492204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9829189,"threshold_uncertainty_score":0.5189801,"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."}}