{"id":"W4413535947","doi":"10.64628/aap.cdnmdhnyg","title":"Carbon credits are useful for stabilizing the climate, but are they used effectively?","year":2024,"lang":"en","type":"article","venue":"","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Carbon fibers; Natural resource economics; Business; Computer science; Economics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008765894,0.0007073279,0.001090348,0.001359725,0.002000737,0.009060879,0.001534591,0.005044964,0.01454326],"category_scores_gemma":[0.04282626,0.0002748011,0.0005189488,0.001989575,0.01014039,0.01069545,0.001762954,0.004870342,0.002314658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002698426,"about_ca_system_score_gemma":0.005529813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01556679,"about_ca_topic_score_gemma":0.02183623,"domain_scores_codex":[0.9946498,0.002116452,0.0002157751,0.0006183443,0.00126602,0.001133625],"domain_scores_gemma":[0.9832787,0.006074314,0.002303334,0.001686459,0.004709322,0.001947994],"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":[0.0004801771,0.0003613408,0.01858962,0.0005833461,0.0004526182,0.000239995,0.0007920039,0.002828546,0.00136194,0.4581203,0.1498285,0.3663616],"study_design_scores_gemma":[0.0002739374,0.0001621959,0.01907675,0.001898458,0.0002311278,0.0002183975,0.00365359,0.002086153,0.002182425,0.5050866,0.4649136,0.0002167449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04965362,0.04169535,0.008506371,0.7100896,0.01573686,0.00005655548,0.001330761,0.0003019279,0.172629],"genre_scores_gemma":[0.8335663,0.0416605,0.004480849,0.07888965,0.01113888,0.00009409839,0.0003418683,0.0003103271,0.02951757],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01556679,"threshold_uncertainty_score":0.04865205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484418153235731,"score_gpt":0.2178749902276633,"score_spread":0.203030808695306,"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."}}