{"id":"W4320036682","doi":"10.1007/978-3-031-22634-2_21","title":"Experimental Analysis of Zinc Melting Using CSP","year":2023,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Glencore (Canada)","funders":"","keywords":"Concentrated solar power; Fossil fuel; Process engineering; Solar energy; Solar power; Beneficiation; Environmental science; Solar furnace; Greenhouse gas; Electricity generation; Renewable energy; Pyrometallurgy; Waste management; Materials science; Nuclear engineering; Power (physics); Engineering; Metallurgy; Electrical engineering; Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001137689,0.0008444834,0.002461329,0.0005071704,0.0002741673,0.0002151588,0.0006419654,0.0004774181,0.005324367],"category_scores_gemma":[0.0000374545,0.0006248393,0.0008028877,0.0003025865,0.0003041436,0.000236737,0.0003906156,0.0001727306,0.0002303924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008988921,"about_ca_system_score_gemma":0.00005800173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104177,"about_ca_topic_score_gemma":0.001090388,"domain_scores_codex":[0.9960896,0.0003309286,0.00168893,0.0006708278,0.0006912786,0.0005284633],"domain_scores_gemma":[0.9967688,0.0001967725,0.001691691,0.001074191,0.0001658878,0.0001026993],"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":[0.0001385332,0.00001956536,0.000005790868,0.0001471596,0.00498303,0.00003169617,0.0007549163,0.0006774093,0.9688836,0.02413374,0.0001743047,0.00005021397],"study_design_scores_gemma":[0.0003949347,0.0001238926,0.0000474458,0.0003790253,0.005639374,0.00005749844,0.0007525163,0.0001766047,0.9022342,0.003132649,0.08584279,0.001219096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8651605,0.003965909,0.00002498579,0.00004071671,0.005806984,0.001054442,0.001696616,0.0005533236,0.1216965],"genre_scores_gemma":[0.5564961,0.0000861816,0.0001481915,0.00007956296,0.001117975,0.0000767912,0.0005665553,0.0002915485,0.4411371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3194405,"threshold_uncertainty_score":0.9996203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05214445609020125,"score_gpt":0.269547412985809,"score_spread":0.2174029568956078,"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."}}