{"id":"W7008457275","doi":"","title":"Carbon Fees Take Center Stage in Washington State &amp;amp; Canada","year":2018,"lang":"en","type":"other","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Stage (stratigraphy); Center (category theory); Carbon fibers; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000661473,0.001013344,0.0005252381,0.001886409,0.007843318,0.005868089,0.00149799,0.004665189,0.5761319],"category_scores_gemma":[0.003675015,0.0007165659,0.0006886222,0.001469968,0.001251287,0.001766267,0.001731874,0.003513608,0.2276424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01110226,"about_ca_system_score_gemma":0.03604485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5969983,"about_ca_topic_score_gemma":0.8453709,"domain_scores_codex":[0.9986888,0.00003156413,0.00002175966,0.0001075034,0.0007714217,0.0003788979],"domain_scores_gemma":[0.9963774,0.0001947388,0.00005441114,0.0001794579,0.002006296,0.001187776],"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":[0.00002940335,0.00004161699,0.0004240068,0.00002364109,0.000002501786,0.00007651828,0.00002906351,0.0001133682,0.0001550415,0.006709712,0.9763477,0.01604742],"study_design_scores_gemma":[0.00001960181,0.00001262875,0.002246333,0.00004447564,0.00000279769,0.00003037201,0.0001013879,0.00028722,0.0003422337,0.0009521298,0.9959474,0.00001349123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001343032,0.0002528667,0.0003365955,0.002024781,0.000958337,0.0001695786,0.003487264,0.0004709521,0.9909566],"genre_scores_gemma":[0.002024361,0.00007591071,0.00006741408,0.000206905,0.00005035041,0.0000144752,0.0004166821,0.0001113947,0.9970324],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5761319,"threshold_uncertainty_score":0.8107501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00675914413022131,"score_gpt":0.195785314263616,"score_spread":0.1890261701333946,"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."}}