{"id":"W3206030255","doi":"10.3390/fuels2040024","title":"Interaction Behavior of Biogenic Material with Electric Arc Furnace Slag","year":2021,"lang":"en","type":"article","venue":"Fuels","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"Natural Resources Canada; University of Waterloo","keywords":"Slag (welding); Steelmaking; Raw material; Electric arc furnace; Metallurgy; Scrap; Carbon fibers; Materials science; Pyrolysis; Oil shale; Waste management; Composite number; Composite material; Chemistry","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":[0.0001875428,0.0002963872,0.0002295218,0.0004108891,0.00023088,0.0003488731,0.0002333943,0.0003231369,0.001778872],"category_scores_gemma":[0.0003168191,0.0001754562,0.0002703918,0.0003532713,0.0002724462,0.0003175687,0.0001756938,0.0002343431,0.0002206099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002377835,"about_ca_system_score_gemma":0.0001191352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007295353,"about_ca_topic_score_gemma":0.001348697,"domain_scores_codex":[0.99971,0.00003215412,0.00001360166,0.00006184531,0.0001196336,0.00006271681],"domain_scores_gemma":[0.9998388,0.00006643093,0.00003676728,0.000008364196,0.00003302688,0.00001660463],"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":[0.0001388927,0.00001674892,0.0007022448,0.00007689061,0.00001049773,0.00008291655,0.00005082886,0.000288431,0.9969745,0.00006376498,0.00002084215,0.001573458],"study_design_scores_gemma":[0.000006118205,0.0002073738,0.005408494,0.000007214,0.00001206941,0.00004945197,0.00007366663,0.001890029,0.9916146,0.00002381064,0.000700784,0.000006422833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980645,0.0003792843,0.0005592387,0.00001301393,0.000009456924,0.000007159132,0.0000528792,0.00001650697,0.0008980249],"genre_scores_gemma":[0.9986298,0.0001389046,0.0004914625,0.00001044409,0.000003506233,0.000005070439,0.00005951681,0.000007629778,0.0006537965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001778872,"threshold_uncertainty_score":0.005950928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007855585247395712,"score_gpt":0.209882182270682,"score_spread":0.2020265970232863,"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."}}