{"id":"W2081170078","doi":"10.3103/s1068364x13010080","title":"Comparison of by-product and heat-recovery cokemaking technologies","year":2013,"lang":"en","type":"article","venue":"Coke and Chemistry","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Process engineering; Key (lock); Product (mathematics); Selection (genetic algorithm); Engineering; Process (computing); Manufacturing engineering; Process plant; Reliability engineering; Computer science; Biochemical engineering; Mathematics; Computer security","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":[0.00185429,0.0005644842,0.0009810224,0.003447183,0.000607439,0.001709157,0.0007614651,0.0009464374,0.003323391],"category_scores_gemma":[0.003253062,0.0002121868,0.001065922,0.002657328,0.000267677,0.001806764,0.0005375425,0.0005103039,0.001249917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089765,"about_ca_system_score_gemma":0.0004042283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004223424,"about_ca_topic_score_gemma":0.0009681055,"domain_scores_codex":[0.9973941,0.000526519,0.000220202,0.0003434675,0.001288882,0.0002267992],"domain_scores_gemma":[0.9982467,0.0008539183,0.00009741043,0.0001412781,0.000617458,0.00004324289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003663073,0.0005093716,0.01004778,0.006836799,0.0003766035,0.0005991015,0.0004957182,0.01318607,0.6389229,0.005872159,0.0009157355,0.3185746],"study_design_scores_gemma":[0.00008526547,0.003345189,0.03140576,0.0001440594,0.0004643797,0.0006582854,0.0005319047,0.003954862,0.9332879,0.001366086,0.02469342,0.00006293921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836956,0.01580537,0.04437192,0.0001397077,0.0001950477,0.0008578718,0.002099304,0.0001932282,0.05264183],"genre_scores_gemma":[0.941021,0.01003835,0.03539525,0.00003865464,0.00003394852,0.0003631196,0.001966056,0.0001137114,0.01102996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003447183,"threshold_uncertainty_score":0.01111788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394697030130858,"score_gpt":0.2827681130209195,"score_spread":0.2588211427196109,"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."}}