{"id":"W1976813286","doi":"10.1016/j.fuel.2005.03.014","title":"The synergistic effect between macerals of different coals during coking","year":2005,"lang":"en","type":"article","venue":"Fuel","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Maceral; Coal; Chemistry; Environmental science; Environmental chemistry; Organic chemistry","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":[0.0003155882,0.000294356,0.0005005589,0.0003313516,0.0005933532,0.0006444532,0.0003027727,0.000437522,0.004665753],"category_scores_gemma":[0.0007121446,0.0002715986,0.0005910897,0.0001940312,0.0004270684,0.0006202828,0.0006229108,0.0003606057,0.0003827215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002360393,"about_ca_system_score_gemma":0.0003893544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009083585,"about_ca_topic_score_gemma":0.001768401,"domain_scores_codex":[0.9997266,0.00005412606,0.00001150688,0.00005506984,0.00004706992,0.0001055984],"domain_scores_gemma":[0.9995547,0.0001738933,0.00004229959,0.00005221399,0.00008021786,0.00009663404],"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":[0.004804226,0.00006614648,0.001474685,0.0001869483,0.00005175711,0.0001260328,0.0001486059,0.0002933938,0.9819079,0.0003768423,0.0001268539,0.01043661],"study_design_scores_gemma":[0.00004019846,0.001031565,0.009711635,0.00001757065,0.00009327704,0.0001907858,0.0002995942,0.0007938343,0.9852604,0.0001707469,0.002372411,0.00001791852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949551,0.001623536,0.0007304388,0.00006296671,0.00007877424,0.00001444674,0.00003211336,0.00002807698,0.002474553],"genre_scores_gemma":[0.9969288,0.0002525164,0.0005324109,0.00003778289,0.00001665113,0.000009574343,0.00002909426,0.00001476778,0.00217841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004665753,"threshold_uncertainty_score":0.01560855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983086481502584,"score_gpt":0.2789790529896971,"score_spread":0.2591481881746713,"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."}}