{"id":"W2473578930","doi":"10.3103/s1068364x15120029","title":"Predicting the classification characteristics of coal. Part 2. Maximum moisture content","year":2015,"lang":"en","type":"article","venue":"Coke and Chemistry","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Water content; Coke; Moisture; Environmental science; Chemistry; Waste management; Mineralogy; Environmental chemistry; Pulp and paper industry; Geology; Engineering; Organic chemistry","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":[0.0001929567,0.0002814343,0.0001525283,0.0008046462,0.000155984,0.0002456801,0.0001694337,0.0002895443,0.0008497613],"category_scores_gemma":[0.000727157,0.0001053093,0.0001792577,0.0003758907,0.0001232282,0.000221835,0.0001257279,0.0001522274,0.0005432061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652642,"about_ca_system_score_gemma":0.0001460988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003121392,"about_ca_topic_score_gemma":0.003418487,"domain_scores_codex":[0.999927,0.000009802065,0.000003845751,0.00002212387,0.00002321774,0.00001391755],"domain_scores_gemma":[0.9996498,0.0001723605,0.00005498458,0.00002762824,0.00006617098,0.00002922304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007608947,0.0002062887,0.6892387,0.00009106786,0.00004196297,0.0001834387,0.0001484573,0.03481508,0.1506094,0.0001973656,0.0006270776,0.1230803],"study_design_scores_gemma":[0.00001301477,0.0002066084,0.7370201,0.000008742098,0.00002811829,0.000218963,0.0001547039,0.1853496,0.07560497,0.0003497434,0.001029838,0.00001560067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934391,0.00004897151,0.005533976,0.000007193017,0.000001679795,0.00001171744,0.0003486562,0.00005392967,0.0005546787],"genre_scores_gemma":[0.9971479,0.00001777173,0.001993038,0.00000199068,0.000001080934,0.000006157163,0.0005193815,0.000005019042,0.0003078117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003121392,"threshold_uncertainty_score":0.006206453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006398222287002,"score_gpt":0.2662626338218465,"score_spread":0.1656228115931462,"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."}}