{"id":"W4403891467","doi":"10.1038/s41612-024-00819-7","title":"Indian summer monsoon’s role in shaping variability in Arctic sea ice","year":2024,"lang":"en","type":"article","venue":"npj Climate and Atmospheric Science","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Monsoon; Sea ice; Oceanography; Arctic; Arctic ice pack; The arctic; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002980812,0.0001974857,0.0001694594,0.0004474871,0.0003406159,0.001063352,0.0002393639,0.0001327605,0.001290519],"category_scores_gemma":[0.0005099302,0.0001314134,0.0003553045,0.0006852115,0.0003622088,0.0004051514,0.0005580037,0.0003155635,0.00021988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003985948,"about_ca_system_score_gemma":0.0007775379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02768285,"about_ca_topic_score_gemma":0.0435435,"domain_scores_codex":[0.9998671,0.00003110183,0.000007676908,0.00002919435,0.00001874195,0.0000462479],"domain_scores_gemma":[0.9998003,0.0000317886,0.00005511782,0.00002106828,0.00004425139,0.00004755805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000145629,0.00005373604,0.9435487,0.00008090356,0.0002139182,0.0003605846,0.001079457,0.003009373,0.01833224,0.00219461,0.001874986,0.0291059],"study_design_scores_gemma":[0.000002227667,0.00001124425,0.9955252,0.00001106585,0.00003399659,0.0000522909,0.0005522214,0.001376003,0.0002680389,0.0002896592,0.001864619,0.00001340748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878128,0.0009631772,0.0007001822,0.0003963248,0.00004446903,0.000006818129,0.0005798548,0.00005991443,0.009436428],"genre_scores_gemma":[0.9987994,0.0004001269,0.0001591442,0.00004394526,0.00002765399,0.000002455208,0.0001935793,0.00001501582,0.000358799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02768285,"threshold_uncertainty_score":0.0550434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256057415270299,"score_gpt":0.2344139289810873,"score_spread":0.2218533548283843,"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."}}