{"id":"W4220712189","doi":"10.3390/mining2010008","title":"Integrated Artificial Neural Network and Discrete Event Simulation Framework for Regional Development of Refractory Gold Systems","year":2022,"lang":"en","type":"article","venue":"Mining","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial neural network; Refractory (planetary science); Process engineering; Engineering; Artificial intelligence; Materials science; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120139,0.0009172396,0.0008811124,0.000771516,0.0005364648,0.001389532,0.001461501,0.001415269,0.003756429],"category_scores_gemma":[0.002812715,0.0005855768,0.001023807,0.0005746139,0.0006791529,0.0007337361,0.001203891,0.001255381,0.0003131223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633037,"about_ca_system_score_gemma":0.001476617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03635373,"about_ca_topic_score_gemma":0.02496778,"domain_scores_codex":[0.9996487,0.0001581468,0.00001948602,0.00006222178,0.00006166437,0.00004977296],"domain_scores_gemma":[0.9985765,0.001025873,0.00009867072,0.00003441883,0.0001926147,0.00007185489],"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":[0.000006056935,0.000006036953,0.0001521298,0.000005407626,0.000006076213,0.00001056041,0.000004039216,0.9982892,0.00003133162,0.0008360983,0.00003361944,0.0006195164],"study_design_scores_gemma":[9.287322e-7,0.000001494906,0.00001553533,6.820063e-7,7.70635e-7,6.65396e-7,0.000001691046,0.9996662,0.00001107038,0.0002618085,0.00003852527,6.326721e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1000486,0.0006481966,0.8826684,0.0007072038,0.000116023,0.00016859,0.0006962994,0.0009733071,0.01397339],"genre_scores_gemma":[0.8779245,0.0003681472,0.1153084,0.0001073063,0.00004462681,0.0003573683,0.0005592448,0.00009927686,0.005231211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03635373,"threshold_uncertainty_score":0.07228428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485035785824144,"score_gpt":0.2768632598508939,"score_spread":0.2320129019926525,"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."}}