{"id":"W4413245876","doi":"10.1017/cat.2025.10002.pr2","title":"Recommendation: Introducing <i>Cambridge Prisms: Carbon Technologies</i> — R0/PR2","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Carbon fibers; Computer science; Computer graphics (images); 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":[0.004591564,0.001120574,0.001696695,0.003118183,0.001641017,0.008856287,0.002270394,0.007754253,0.6163735],"category_scores_gemma":[0.02510163,0.0007306882,0.001666004,0.003418304,0.0008867739,0.006415114,0.002054759,0.003089505,0.6304258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008217,"about_ca_system_score_gemma":0.007358946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02806811,"about_ca_topic_score_gemma":0.05509975,"domain_scores_codex":[0.9970723,0.0002789199,0.0001425502,0.0001810204,0.002021036,0.0003042074],"domain_scores_gemma":[0.9782603,0.001578549,0.0006045563,0.0009802119,0.01432647,0.00424981],"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":[0.000007165741,0.000007146673,0.00001865839,0.00006758295,0.00000158345,0.00000592991,0.000003390226,0.000007425328,0.00003984798,0.00009361174,0.995505,0.004242625],"study_design_scores_gemma":[0.00004535479,0.00001088248,0.0005641088,0.00007632698,0.000005399996,0.00000847877,0.00002071484,0.00004568201,0.00009602204,0.000277107,0.9988391,0.0000107863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009439766,0.00375259,0.004727942,0.07366551,0.04855953,0.004857915,0.1282267,0.0213894,0.7138764],"genre_scores_gemma":[0.003412399,0.002920426,0.005507485,0.01977481,0.006982633,0.001495278,0.05829536,0.005579153,0.8960324],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6163735,"threshold_uncertainty_score":0.5471966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606002347016402,"score_gpt":0.2892948117282354,"score_spread":0.2732347882580714,"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."}}