{"id":"W4392098477","doi":"10.1007/s42461-024-00944-0","title":"Assessing Dilution, Ore Loss, and Profit Differences from Various Hand-Drawn Dig Limits Compared to Optimal Ore-Waste Delineations in Deposits of Variable Heterogeneity","year":2024,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Dig; Variable (mathematics); Profit (economics); Iron ore; Econometrics; Economics; Computer science; Mathematics; Microeconomics; Archaeology; Geography","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":[0.001160288,0.0002402344,0.0003225288,0.0004860918,0.0001527241,0.000570188,0.0004293965,0.0003748056,0.0008876197],"category_scores_gemma":[0.00365091,0.0001399731,0.000258223,0.000450145,0.000354209,0.0005057903,0.0003600353,0.0002023682,0.0001065679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006628206,"about_ca_system_score_gemma":0.0004040252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004897626,"about_ca_topic_score_gemma":0.00838559,"domain_scores_codex":[0.9995965,0.0001038521,0.00003036092,0.00008914978,0.0001196043,0.00006047636],"domain_scores_gemma":[0.9974884,0.001828673,0.0002583057,0.0001121756,0.000228734,0.0000837476],"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":[0.02574507,0.001045553,0.2969883,0.000232473,0.0003407513,0.0006412686,0.0002875555,0.4856792,0.1091054,0.001830088,0.0003794235,0.0777249],"study_design_scores_gemma":[0.0002503475,0.005109831,0.3697213,0.00002011356,0.0003072635,0.0002993401,0.0006412031,0.5117847,0.1092265,0.00197102,0.0005931782,0.00007517274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984548,0.00002227038,0.001154233,0.000005540554,9.258259e-7,0.000004964115,0.00004545653,0.000009099407,0.0003026275],"genre_scores_gemma":[0.9988195,0.000008357342,0.0009062147,0.000002285198,4.39259e-7,0.000002944242,0.00005423572,0.000002300083,0.0002037263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004897626,"threshold_uncertainty_score":0.009738207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05235877502147098,"score_gpt":0.2770361505123481,"score_spread":0.2246773754908771,"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."}}