{"id":"W4412545371","doi":"10.5194/gmd-18-4399-2025","title":"The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7","year":2025,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Ministry of Business, Innovation and Employment","keywords":"Attribution; Environmental science; Computer science; Climatology; Psychology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001696823,0.0001846273,0.0001597862,0.000101263,0.001373628,0.0002141385,0.0002541245,0.00009155802,0.00001224924],"category_scores_gemma":[0.00009285366,0.0001449884,0.00004036749,0.000504791,0.0001675969,0.0001948437,0.0005520658,0.0001421085,0.00007396114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007319848,"about_ca_system_score_gemma":0.00009270454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311814,"about_ca_topic_score_gemma":0.001692189,"domain_scores_codex":[0.9980228,0.0000634443,0.0004215989,0.0006600576,0.0003592084,0.0004729085],"domain_scores_gemma":[0.9993817,0.00004700034,0.00007098821,0.000352776,0.00005243161,0.00009515137],"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":[0.0003806036,0.0004554503,0.005505879,0.00007233594,0.00005442385,0.000001015486,0.004529806,0.7237536,0.06398138,0.01083636,0.007432088,0.1829971],"study_design_scores_gemma":[0.0002336589,0.00001388626,0.004379261,0.00002519026,0.00001221016,0.000001068537,0.00005251618,0.9502331,0.004052499,0.002429509,0.03839222,0.0001748878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4240659,0.00001916258,0.574001,0.0003346954,0.0002847953,0.0006153943,0.00001378654,0.00004926055,0.0006160577],"genre_scores_gemma":[0.9897839,0.00001867138,0.006183841,0.0001663259,0.000005552122,0.0002445064,0.00003104084,0.000006821047,0.003559296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5678171,"threshold_uncertainty_score":0.9999264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373725282833425,"score_gpt":0.2652980298196335,"score_spread":0.2415607769912993,"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."}}