{"id":"W4409019947","doi":"10.1007/s00382-025-07663-2","title":"High-resolution seasonal climate prediction with stepwise cluster analysis: a case study for Prince Edward Island, Canada","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Climatology; Cluster (spacecraft); Environmental science; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003672293,0.0001554235,0.0002133856,0.00005491836,0.0002700671,0.00004506343,0.000120563,0.00006102322,0.0001234152],"category_scores_gemma":[0.00001539976,0.0001345279,0.00006062969,0.0004123,0.00006355866,0.000126171,0.00016457,0.00009976489,0.000009870952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007449847,"about_ca_system_score_gemma":0.00006724052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05840305,"about_ca_topic_score_gemma":0.8801467,"domain_scores_codex":[0.9987217,0.00005595936,0.0002589631,0.0003991023,0.0002103822,0.0003538784],"domain_scores_gemma":[0.9994159,0.00007813356,0.00008391307,0.0003265283,0.00002578146,0.00006972576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004364354,0.0005307969,0.6724688,0.0001618552,0.0003815678,0.0001356613,0.0003114892,0.3213315,0.000007922898,0.00138159,0.00149219,0.001360188],"study_design_scores_gemma":[0.0008646784,0.0001185073,0.01946523,0.00001688382,0.0007178419,0.00002913887,0.0007159565,0.977179,9.812187e-7,0.0000788623,0.0006477031,0.0001652373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725296,0.000006764263,0.0231882,0.0002113292,0.0002323671,0.0008091918,0.001337706,0.00005354321,0.0016313],"genre_scores_gemma":[0.9982539,0.00001559366,0.0009130557,0.0001487598,0.00001747094,0.0001134548,0.0002573916,0.00001207776,0.0002682736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8217437,"threshold_uncertainty_score":0.9478671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005983403324212347,"score_gpt":0.2264114934461614,"score_spread":0.220428090121949,"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."}}