{"id":"W2941617776","doi":"10.1021/cen-09716-buscon6","title":"Methanex, M&G make up","year":2019,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Global Energy Security and Policy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000182667,0.0003316358,0.0003751709,0.00006053675,0.00006080143,0.00007917384,0.0006054682,0.0002687816,0.002251497],"category_scores_gemma":[0.0000999885,0.0003211978,0.000267142,0.0003825878,0.00006162225,0.0001553316,0.0002627118,0.0002086061,0.01125445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437874,"about_ca_system_score_gemma":0.00006895739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007463845,"about_ca_topic_score_gemma":0.002834428,"domain_scores_codex":[0.9979743,0.0001670978,0.0003434286,0.0004825616,0.000367355,0.0006652172],"domain_scores_gemma":[0.9987072,0.00006214762,0.00009818761,0.0007755046,0.0000645507,0.0002924078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001938926,0.0001265003,0.001906625,0.00004171712,0.0001309064,0.00002542895,0.0004965598,0.001485593,0.0003829949,0.9649212,0.01170246,0.01858615],"study_design_scores_gemma":[0.001000218,0.00005799995,0.001527896,0.00004307101,0.00003268629,0.00005386032,0.00007219936,0.00009249662,0.0002388182,0.009253429,0.987278,0.0003492745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3682078,0.0004827321,0.00007624461,0.0004901132,0.002352357,0.0001523929,0.0001001848,0.0002786046,0.6278597],"genre_scores_gemma":[0.977808,0.00008071774,0.0004394907,0.002704099,0.0003570277,0.00001456829,0.0000934342,0.00003056099,0.01847207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9755756,"threshold_uncertainty_score":0.999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025225966446693,"score_gpt":0.2715530443646656,"score_spread":0.2613007847001987,"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."}}