{"id":"W4400963972","doi":"10.21203/rs.3.rs-4718479/v1","title":"Bayesian modeling of HFC production pipeline suggests growth in unreported CFC by-product and feedstock production","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Raw material; Montreal Protocol; Production (economics); Ozone layer; Environmental science; Transparency (behavior); Waste management; Greenhouse gas; Natural resource economics; Ozone; Environmental economics; Engineering; Meteorology; Chemistry; Economics; Computer science; Ecology","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":[0.00186975,0.0004448674,0.000590936,0.0008130334,0.0003860601,0.001715121,0.001028861,0.001437973,0.00605081],"category_scores_gemma":[0.007673975,0.0007453099,0.0009849896,0.0009874532,0.0006109864,0.002245452,0.0004923644,0.001137362,0.0006381256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567568,"about_ca_system_score_gemma":0.001091214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06024651,"about_ca_topic_score_gemma":0.03284563,"domain_scores_codex":[0.9995921,0.00006970807,0.00001366321,0.0001920369,0.00005223069,0.00008030277],"domain_scores_gemma":[0.9961249,0.00261334,0.0004777369,0.0002526196,0.0003962231,0.0001350864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002121647,0.00007099698,0.02812064,0.00003915564,0.00007840921,0.00008273856,0.00006147611,0.9392334,0.00215848,0.01759784,0.001947046,0.01039769],"study_design_scores_gemma":[0.00001082938,0.00001548479,0.009715134,0.000003747892,0.00001223988,0.00001325101,0.0000132795,0.9842515,0.0003668921,0.005315423,0.0002696091,0.00001269658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235485,0.0002198278,0.06434305,0.0009710055,0.00002872502,0.00003019695,0.003485206,0.0003522252,0.007021203],"genre_scores_gemma":[0.9922815,0.00006836657,0.003521115,0.00003832487,0.00001151876,0.00001027149,0.001239075,0.0000517768,0.002777996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06024651,"threshold_uncertainty_score":0.1197916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411913918973284,"score_gpt":0.3204637254541657,"score_spread":0.2792723335568373,"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."}}