{"id":"W7065404172","doi":"","title":"Distribution Characteristics of Total Mercury in Imported Coals at Shanghai Port","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Coal; Sulfur; Sulfide; Pollution","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":[0.00008469369,0.000232774,0.0001461635,0.001222954,0.0003525184,0.000310085,0.0002009189,0.0001550933,0.001824044],"category_scores_gemma":[0.0001560352,0.0001191811,0.0002532604,0.001069783,0.0001930603,0.0002090875,0.0002282162,0.0001357039,0.0002573102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003572171,"about_ca_system_score_gemma":0.0002678723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806423,"about_ca_topic_score_gemma":0.03041737,"domain_scores_codex":[0.9999083,0.000005300739,0.000005703227,0.00002171579,0.00004086884,0.00001803657],"domain_scores_gemma":[0.9997517,0.00002422017,0.00006453318,0.0000106269,0.0001001433,0.00004882712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003204902,0.00003943186,0.9526886,0.00004314048,0.00005141163,0.0015852,0.0009058946,0.0007947999,0.03410949,0.0001281236,0.0003704954,0.008962966],"study_design_scores_gemma":[0.000003571818,0.00005968413,0.9944298,0.000002355477,0.00001716919,0.0003035219,0.000593069,0.0009393909,0.003322222,0.00002954187,0.000290734,0.000008869732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993874,0.00001000388,0.00008770409,0.000006190278,9.08558e-7,0.000001087245,0.0001380329,0.000008348404,0.0003602262],"genre_scores_gemma":[0.9982877,0.00002108816,0.00009375137,0.000007364713,0.000002720641,0.000002228508,0.0004174163,0.000008324058,0.001159374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01806423,"threshold_uncertainty_score":0.03591818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07892750507808749,"score_gpt":0.430541007683521,"score_spread":0.3516135026054335,"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."}}