{"id":"W4401073570","doi":"10.1021/cen-10223-buscon6","title":"Methanex plans Alberta carbon capture","year":2024,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Carbon fibers; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009217273,0.0009035893,0.0002890848,0.001237047,0.002712321,0.00271614,0.00149392,0.001377395,0.1438393],"category_scores_gemma":[0.001051674,0.0004441597,0.0004381851,0.0009606403,0.0005957556,0.0009025042,0.001270559,0.001676466,0.02671466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009046086,"about_ca_system_score_gemma":0.02429681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5171449,"about_ca_topic_score_gemma":0.7646337,"domain_scores_codex":[0.9986148,0.0000458009,0.000007944102,0.00008687242,0.001025765,0.0002187241],"domain_scores_gemma":[0.9988396,0.00004341473,0.00002208729,0.00006610538,0.000686987,0.0003418186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000308319,0.000117068,0.002056749,0.0001166956,0.00001635351,0.0002616485,0.0001129434,0.0009135234,0.002136075,0.03536411,0.8907161,0.06788033],"study_design_scores_gemma":[0.00002426605,0.00002661622,0.00143471,0.00002592265,0.000004266603,0.00005105595,0.0001194395,0.0004527837,0.0006341987,0.0008868608,0.9963285,0.00001129022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.006366553,0.002047652,0.002352179,0.008021901,0.001240855,0.0002135138,0.006543525,0.002635689,0.9705781],"genre_scores_gemma":[0.02465999,0.0008416855,0.003172862,0.002321819,0.00009049213,0.00005810516,0.007374506,0.0004098991,0.9610707],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4828551,"threshold_uncertainty_score":0.9713974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005509672045667625,"score_gpt":0.2515634808178475,"score_spread":0.2460538087721798,"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."}}