{"id":"W4404494541","doi":"10.1007/978-3-031-67398-6_164","title":"The Inco Iron Ore Recovery Plant: A Case Study in Innovation and Circular Process Metallurgy","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Iron ore; Metallurgy; Process (computing); Engineering; Manufacturing engineering; Mining engineering; Materials science; Computer 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":[0.001261173,0.000327348,0.0002489105,0.0007365741,0.006949213,0.002840748,0.001249136,0.002947758,0.004104868],"category_scores_gemma":[0.001532755,0.0001884218,0.000241262,0.001271394,0.003022791,0.001528793,0.001741223,0.001744913,0.0004874371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006699175,"about_ca_system_score_gemma":0.005712173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04233974,"about_ca_topic_score_gemma":0.1549265,"domain_scores_codex":[0.9992223,0.0002525524,0.0000113294,0.00006859351,0.0002439982,0.0002012733],"domain_scores_gemma":[0.9989793,0.00066712,0.00004917792,0.0000511252,0.0001033478,0.0001499474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"case_report","study_design_scores_codex":[0.0007479267,0.003146798,0.01911727,0.000551221,0.00002377516,0.03589619,0.1436992,0.01186597,0.01428528,0.4185565,0.05441147,0.2976985],"study_design_scores_gemma":[0.0001192587,0.001485618,0.03472967,0.0003989837,0.00004178449,0.008352417,0.2254188,0.02772861,0.0216646,0.03719937,0.6427087,0.0001521927],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6027222,0.001041194,0.01093064,0.004465593,0.00007838594,0.0002457274,0.0001062234,0.0001098457,0.3803001],"genre_scores_gemma":[0.8683279,0.0007920927,0.009666363,0.0003190301,0.0000219925,0.0000917296,0.00007154067,0.00006387803,0.1206456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04233974,"threshold_uncertainty_score":0.08418661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878441915787696,"score_gpt":0.2395448269908455,"score_spread":0.2207604078329685,"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."}}