{"id":"W4417486361","doi":"10.1016/j.ifacol.2025.12.387","title":"Mineral liberation - The key to unlock the optimisation problem of separation processes","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Process (computing); Process control; Key (lock); Process plant; Grinding; Control (management); Product (mathematics); Lead (geology); Work in process","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001783695,0.0001281424,0.0001203624,0.00006743104,0.0001517858,0.00007186373,0.0001603182,0.00005530279,0.00001198219],"category_scores_gemma":[0.00006980426,0.00007730479,0.00003181095,0.0005301349,0.0000258895,0.0001449379,0.00002033013,0.0001206934,0.00000704552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003569214,"about_ca_system_score_gemma":0.0000532659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000252345,"about_ca_topic_score_gemma":0.0001425109,"domain_scores_codex":[0.9993028,0.00002247329,0.0002508084,0.000131931,0.0001453781,0.0001466236],"domain_scores_gemma":[0.9995863,0.00008098075,0.00004522666,0.0001510381,0.00011254,0.0000238671],"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":[0.00003151522,0.00004089274,0.0003073033,0.0005480837,0.00006064551,4.645295e-7,0.007550668,0.8730912,0.1010198,0.0005002251,0.0009248974,0.01592428],"study_design_scores_gemma":[0.001424534,0.0002695003,0.004764398,0.001375483,0.0002574013,0.00001571942,0.00265344,0.8641554,0.09370752,0.001321896,0.02914559,0.0009091808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629264,0.0009917653,0.01648073,0.0080126,0.0002793998,0.0006705684,0.00001762429,0.0002493115,0.0103716],"genre_scores_gemma":[0.9372168,0.00004843287,0.05726787,0.0003972813,0.000227144,0.00007168375,0.00004667659,0.00001930389,0.004704767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04078714,"threshold_uncertainty_score":0.3152398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048259324106307,"score_gpt":0.2587474884949302,"score_spread":0.2482648952538671,"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."}}