{"id":"W2385447426","doi":"","title":"Study on coal properties of Taike coking coal from Canada","year":2011,"lang":"en","type":"article","venue":"Wuhan Iron and Steel Corporation Technology","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Coke; Petroleum coke; Waste management; Sulfur; Environmental science; Coke strength after reaction; Metallurgy; Materials science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009032431,0.0001957992,0.0002208513,0.001554335,0.001497021,0.0004188939,0.0002438754,0.0002075341,0.001679448],"category_scores_gemma":[0.0002212509,0.0001014063,0.0002373676,0.001738444,0.0002394151,0.0002275481,0.0001247279,0.0002250764,0.0002528488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002308157,"about_ca_system_score_gemma":0.002005577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6278253,"about_ca_topic_score_gemma":0.7599619,"domain_scores_codex":[0.9997919,0.000003733251,0.000004774791,0.00001793513,0.0001402715,0.00004133418],"domain_scores_gemma":[0.9998104,0.00001324328,0.000007534461,0.000004205526,0.0001435314,0.00002120078],"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":[0.0008549666,0.0001989415,0.169085,0.0004377055,0.0001003133,0.002468482,0.002191453,0.005087938,0.7743183,0.00119417,0.001317483,0.04274527],"study_design_scores_gemma":[0.00001603527,0.000293301,0.6442317,0.00004082928,0.00007900452,0.0007892798,0.003052513,0.003800691,0.3228813,0.0001903943,0.02456526,0.00005965889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926211,0.0004528218,0.0001884425,0.00002568244,0.000004134883,0.00001219339,0.0004253131,0.000005023068,0.006265285],"genre_scores_gemma":[0.9947317,0.0003850403,0.0002196787,0.00001345618,0.000001513448,0.000003350757,0.000544614,0.000007230013,0.00409343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3721747,"threshold_uncertainty_score":0.748733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03631817946603066,"score_gpt":0.1843424668632645,"score_spread":0.1480242873972338,"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."}}