{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007453549,0.000228324,0.0006149049,0.0003243749,0.00005915278,0.0001563744,0.0005515526,0.0001232381,0.001452961],"category_scores_gemma":[0.0001946633,0.0002333874,0.0001136189,0.0004970004,0.00005419043,0.0009501326,0.0001468272,0.0002223427,0.000007298163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406397,"about_ca_system_score_gemma":0.00003360289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002162504,"about_ca_topic_score_gemma":0.00003360778,"domain_scores_codex":[0.9980447,0.00005758598,0.001020665,0.0001986092,0.0003834229,0.0002949746],"domain_scores_gemma":[0.9989035,0.0001726902,0.0003624003,0.0002610917,0.0001551052,0.0001451809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008783864,0.0001992484,0.8210105,0.0002300313,0.0001294351,0.00001419386,0.0001343281,0.001732196,0.1530404,0.0001717789,0.00652036,0.01672973],"study_design_scores_gemma":[0.0003896926,0.000009770179,0.9562412,0.00028161,0.00004520415,0.000006878727,0.000006477943,0.004756487,0.03452129,0.0004349544,0.003050926,0.0002555301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914276,0.001672997,0.003831967,0.00003578256,0.0006068205,0.000286571,0.0003708987,0.00003566754,0.001731678],"genre_scores_gemma":[0.9946074,0.00482427,0.00002946785,0.0000291776,0.00007975644,0.00001674181,0.0003522318,0.00003825719,0.00002270142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352307,"threshold_uncertainty_score":0.9994599,"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."}}