{"id":"W4413382292","doi":"10.5194/egusphere-2025-3428-rc1","title":"Comment on egusphere-2025-3428","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Université Catholique de Louvain","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001632738,0.000919742,0.0008827624,0.001058825,0.002773877,0.003377377,0.001953154,0.01769638,0.4301402],"category_scores_gemma":[0.008310711,0.0004873888,0.001153986,0.001303967,0.00125482,0.00240248,0.002218913,0.007896496,0.2959494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002777827,"about_ca_system_score_gemma":0.002385545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02692614,"about_ca_topic_score_gemma":0.03685156,"domain_scores_codex":[0.9988971,0.0000766439,0.0000937595,0.0001159919,0.0005758268,0.000240675],"domain_scores_gemma":[0.9973028,0.0005961194,0.0001212123,0.0002288538,0.001213949,0.0005369792],"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":[0.00003319627,0.0000141025,0.00006431904,0.00003566508,0.000001456544,0.00006693532,0.000007919238,0.00001027302,0.00006475484,0.0004482077,0.9950867,0.004166443],"study_design_scores_gemma":[0.0000226443,0.00001224822,0.0003909116,0.00006086614,0.000001510574,0.00001401719,0.00002991293,0.00002142389,0.00007175088,0.0003123563,0.9990547,0.000007739339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001033365,0.00142402,0.0006890096,0.2333116,0.2961329,0.0009134913,0.01159928,0.003727114,0.4511693],"genre_scores_gemma":[0.003071019,0.000701695,0.0003544516,0.2432963,0.0301621,0.0003681722,0.00262342,0.0008374265,0.7185855],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4301402,"threshold_uncertainty_score":0.8128358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06532318626901178,"score_gpt":0.4011327671447242,"score_spread":0.3358095808757124,"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."}}