{"id":"W3110919026","doi":"10.1002/joc.6972","title":"Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi‐source data","year":2020,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Sea ice; Arctic; Climatology; Environmental science; Arctic ice pack; Archipelago; Sea surface temperature; Oceanography; 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":[0.0009116603,0.0005601467,0.0002773431,0.003650372,0.0002145776,0.0008791013,0.0003236043,0.0002873788,0.0004543913],"category_scores_gemma":[0.001469236,0.0001900953,0.0005119933,0.002961107,0.0001349497,0.0006856648,0.0004777443,0.0002341104,0.0002379736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005678545,"about_ca_system_score_gemma":0.000405435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395135,"about_ca_topic_score_gemma":0.03880046,"domain_scores_codex":[0.9996036,0.00004750382,0.00004833554,0.0001047699,0.000151231,0.00004457204],"domain_scores_gemma":[0.9986159,0.0002276799,0.0003805093,0.00008839738,0.00059717,0.00009048435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002032956,0.00006214967,0.9625214,0.000106222,0.0002142938,0.0002494246,0.0003001018,0.009881558,0.002830408,0.0001269623,0.001300428,0.02220378],"study_design_scores_gemma":[0.000006724397,0.00002684272,0.976998,0.00003630681,0.00004037772,0.00007212564,0.0002116787,0.01805879,0.001289705,0.00003876671,0.00320346,0.00001736399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880581,0.0003190491,0.0009655267,0.00004964905,0.00003127589,0.00002308726,0.008826734,0.00009063981,0.001635802],"genre_scores_gemma":[0.978525,0.0001911783,0.001682368,0.0000158969,0.00003516597,0.00003226586,0.01907039,0.0000319651,0.0004157977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02395135,"threshold_uncertainty_score":0.04762387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06903959114483649,"score_gpt":0.2743515724810237,"score_spread":0.2053119813361872,"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."}}