{"id":"W7056118237","doi":"","title":"Dynamic simultaneous optimization of mineral value chains under resource uncertainty","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"IAMGOLD; AngloGold Ashanti; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Constant (computer programming); Value (mathematics); Flow (mathematics); Resource (disambiguation); Component (thermodynamics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002276161,0.001129653,0.00180483,0.0008734983,0.000822901,0.003272993,0.001617107,0.002409914,0.01074061],"category_scores_gemma":[0.01092878,0.001340847,0.0008385506,0.001210835,0.001608172,0.003501716,0.002825687,0.002344064,0.0007714711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002634805,"about_ca_system_score_gemma":0.002265036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122388,"about_ca_topic_score_gemma":0.009386634,"domain_scores_codex":[0.9992624,0.0002876041,0.00002595853,0.0001533921,0.00008653115,0.0001841874],"domain_scores_gemma":[0.9938379,0.004958029,0.0003520528,0.0001809555,0.0003338206,0.0003372045],"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":[0.00007701973,0.00002263525,0.0003048878,0.00003891462,0.00002108848,0.00005130541,0.00003419784,0.9791976,0.0002307948,0.01449344,0.0007854585,0.004742619],"study_design_scores_gemma":[0.00001276761,0.00001851332,0.00009559155,0.000009917946,0.000006782228,0.000006964491,0.00002772743,0.9818517,0.00009739227,0.01742325,0.0004424716,0.000006941681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2344627,0.001586003,0.7098921,0.003676886,0.0002140711,0.0002230923,0.001240043,0.0004895646,0.04821567],"genre_scores_gemma":[0.9357483,0.0005308138,0.05047899,0.0001905107,0.00004523675,0.0001638406,0.0003502292,0.0001822785,0.01230972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01122388,"threshold_uncertainty_score":0.03593093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009245415016542295,"score_gpt":0.253807591514027,"score_spread":0.2445621764974847,"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."}}