{"id":"W6950245403","doi":"10.5683/sp3/7kaiye","title":"Supplementary material for Modeling Steady-State Ferrous Oxidation in Continuous Bioreactors for Non-contact Bioleaching","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bioleaching; Ferrous metallurgy; Bioreactor; Ferrous","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":[0.001103144,0.002909332,0.001642628,0.002221957,0.0007146819,0.002333931,0.003129105,0.003239872,0.1814702],"category_scores_gemma":[0.004174185,0.001115367,0.002570608,0.003033037,0.0004236831,0.001401827,0.001250572,0.001642117,0.1204664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857885,"about_ca_system_score_gemma":0.002582074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04554657,"about_ca_topic_score_gemma":0.08690864,"domain_scores_codex":[0.9991848,0.0001271822,0.00007760099,0.0002592044,0.0002319809,0.0001192374],"domain_scores_gemma":[0.9981802,0.0008447298,0.0001174841,0.0003188789,0.0004280049,0.0001108427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001265387,0.0001031057,0.001586013,0.001897483,0.0001428837,0.00005615419,0.0000323008,0.008103507,0.0004477252,0.00123614,0.9801548,0.006113293],"study_design_scores_gemma":[0.0006374787,0.00004951155,0.005088685,0.0004509869,0.0001203708,0.00009321812,0.00007479322,0.00927704,0.001224015,0.006660323,0.9762323,0.00009124241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000143089,0.0000578688,0.0002777331,0.00004333665,0.0000224595,0.00001083597,0.9980524,0.0006949854,0.0006974362],"genre_scores_gemma":[0.001069815,0.00008027261,0.00141105,0.00006573703,0.000008224706,0.0000994763,0.9959232,0.0003048245,0.001037459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1814702,"threshold_uncertainty_score":0.6070784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209087596904023,"score_gpt":0.2948541950659666,"score_spread":0.2739454353755643,"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."}}