{"id":"W2092536036","doi":"10.1016/j.mineng.2009.02.015","title":"Microwaves in extractive metallurgy: Part 1 – Review of fundamentals","year":2009,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Microwave-Assisted Synthesis and Applications","field":"Chemistry","cited_by":121,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Microwave; Hydrometallurgy; Extractive metallurgy; Pyrometallurgy; Mineral processing; Process engineering; Metallurgy; Materials science; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001336996,0.0001428615,0.0003130378,0.00005318743,0.00001285353,0.000009791995,0.0001309907,0.00005223317,0.0006880173],"category_scores_gemma":[0.00006997483,0.0001417955,0.00009165824,0.000185672,0.00001032204,0.0000658349,0.0000149442,0.0001079598,0.00001024429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000371287,"about_ca_system_score_gemma":0.00001301488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008662014,"about_ca_topic_score_gemma":0.000001776275,"domain_scores_codex":[0.9991519,0.000006619275,0.0003932678,0.0001827706,0.00008385174,0.0001815696],"domain_scores_gemma":[0.9995196,0.0000575448,0.00009680176,0.0002512273,0.00002892281,0.00004591815],"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":[0.000001533353,0.0000739574,0.00001561493,0.0007584689,0.00001709736,0.000002063136,0.0000233085,0.00009091621,0.9950638,0.0003675154,0.0008549457,0.002730805],"study_design_scores_gemma":[0.0001634552,0.000007528452,0.0004985387,0.004740199,0.00003468946,0.00001156534,0.00002095107,0.0002497152,0.8604212,0.00001765334,0.1336001,0.000234414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427706,0.08172907,0.0007464308,0.001937423,0.00007914538,0.0003815804,0.00009803553,0.0001780214,0.07207972],"genre_scores_gemma":[0.9870228,0.00717971,0.003051716,0.0002205023,0.00008380657,0.00005812353,0.00004745041,0.00002488333,0.002310977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1442523,"threshold_uncertainty_score":0.7533308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398126690787798,"score_gpt":0.2415628805541112,"score_spread":0.2275816136462332,"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."}}