{"id":"W3216618628","doi":"10.1080/17480930.2021.1949858","title":"An adaptive large neighborhood search heuristic to optimize mineral value chains under metal and material type uncertainty","year":2021,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Heuristic; Computer science; Exploit; Production (economics); Mathematics","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":[0.001135497,0.0006935176,0.001208229,0.0008607723,0.0003388728,0.0007289859,0.001136564,0.00139118,0.002226833],"category_scores_gemma":[0.002893989,0.0006187034,0.0006920116,0.0008954672,0.000735082,0.001149965,0.0007638442,0.0008420488,0.0002183064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013314,"about_ca_system_score_gemma":0.001326105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005791501,"about_ca_topic_score_gemma":0.005895628,"domain_scores_codex":[0.999605,0.0001859645,0.00001342741,0.00005442942,0.00008480429,0.00005628732],"domain_scores_gemma":[0.9988558,0.0009082684,0.00008979559,0.00002848927,0.00007532362,0.00004221663],"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":[0.00002067597,0.00001749283,0.00009187965,0.00002189606,0.00001317589,0.00002508254,0.00001526457,0.9907747,0.0002183917,0.002861367,0.0002276994,0.005712353],"study_design_scores_gemma":[0.00001000092,0.00002459328,0.00003200824,0.00000411362,0.000003077734,0.000005565074,0.000005908131,0.9978526,0.00008454178,0.00173459,0.000240372,0.000002712721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04539138,0.0006902098,0.9467556,0.0002412074,0.00005727049,0.0001103888,0.0000712948,0.0001615312,0.00652111],"genre_scores_gemma":[0.6782942,0.0004375691,0.3151142,0.0001009173,0.00004087897,0.0003310392,0.0001586255,0.0001092954,0.005413193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005791501,"threshold_uncertainty_score":0.01151562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734944976941585,"score_gpt":0.2455537826943133,"score_spread":0.2282043329248974,"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."}}