{"id":"W4385795277","doi":"10.1016/j.mineng.2023.108303","title":"Application of microwave imaging in sensor-based ore sorting","year":2023,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sorting; Gangue; Mineral; Mineralogy; Gold ore; Mineral processing; Particle (ecology); Geology; Materials science; Metallurgy; Computer science; Geochemistry; Algorithm","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":[0.0003373396,0.0003270074,0.0002900339,0.0004412982,0.0002088508,0.0004687995,0.0003447184,0.0005801711,0.001105874],"category_scores_gemma":[0.000446057,0.0002089889,0.0002144661,0.0005337081,0.0003327679,0.0005502476,0.0002715561,0.0003026665,0.000299451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858026,"about_ca_system_score_gemma":0.0001841017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003303483,"about_ca_topic_score_gemma":0.0006815104,"domain_scores_codex":[0.9998397,0.00002744908,0.000007557631,0.00004180339,0.00006727203,0.00001636638],"domain_scores_gemma":[0.9997652,0.00009501327,0.00003102336,0.00002554459,0.00007166324,0.00001165755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008589205,0.00002877655,0.0003955079,0.00007155009,0.000006295955,0.00002611406,0.00002736161,0.0005523901,0.9826092,0.0006759552,0.0001425059,0.01537849],"study_design_scores_gemma":[0.000006928829,0.0000825875,0.00083873,0.000005114703,0.00001186092,0.0001089069,0.0000320977,0.01669925,0.9800097,0.0002096479,0.001987504,0.00000754201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6840913,0.004989779,0.2923981,0.0007747455,0.0002377354,0.0001174798,0.0002513704,0.001083392,0.01605614],"genre_scores_gemma":[0.8781835,0.001209231,0.116319,0.0001804262,0.00005055955,0.00003217622,0.00008705992,0.00005771825,0.00388024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001105874,"threshold_uncertainty_score":0.003699541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006689639802971274,"score_gpt":0.2082748120611105,"score_spread":0.2015851722581392,"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."}}