{"id":"W4413245813","doi":"10.1017/cat.2025.10002.pr3","title":"Decision: Introducing <i>Cambridge Prisms: Carbon Technologies</i> — R0/PR3","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Carbon fibers; Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008060973,0.001321147,0.001998328,0.001897083,0.002738041,0.01075653,0.003578279,0.02544698,0.365142],"category_scores_gemma":[0.02665965,0.0009094428,0.001952889,0.001641202,0.001719717,0.00470458,0.002935765,0.01213657,0.2001972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004753327,"about_ca_system_score_gemma":0.01496602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02713265,"about_ca_topic_score_gemma":0.04455423,"domain_scores_codex":[0.9936296,0.0005593122,0.0003771027,0.000625029,0.003740987,0.001067812],"domain_scores_gemma":[0.9881591,0.002153873,0.0003925784,0.0006465137,0.004883768,0.003764162],"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":[0.00002947609,0.000009550558,0.00001913584,0.00005233796,0.000002494265,0.0000279947,0.000005756311,0.00002279946,0.0001016554,0.001834618,0.9955168,0.002377278],"study_design_scores_gemma":[0.00004942388,0.00002332342,0.0003105122,0.00005096801,0.000005029647,0.00001222481,0.00001617034,0.00008394634,0.0002055933,0.0006871875,0.9985394,0.00001602723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001280622,0.004949097,0.002866869,0.2607528,0.141632,0.00373164,0.02875181,0.004553325,0.5514818],"genre_scores_gemma":[0.00567649,0.001773754,0.002362401,0.09428801,0.01484424,0.001071506,0.004406606,0.002009605,0.8735673],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.365142,"threshold_uncertainty_score":0.9055479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06322909288344765,"score_gpt":0.2827099856992232,"score_spread":0.2194808928157755,"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."}}