{"id":"W3162787279","doi":"","title":"Linkages Between Sea Ice and Snow Phenology in the Canadian High Arctic from 1997 - 2017","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Sea ice; Arctic ice pack; Climatology; Arctic; Cryosphere; Physical geography; Phenology; Oceanography; Meteorology; Environmental science; 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":[0.0006280848,0.0003815631,0.0003333684,0.002479981,0.001616295,0.001552466,0.001096135,0.0006330056,0.002635296],"category_scores_gemma":[0.001987044,0.0003008899,0.000689378,0.006056187,0.0005855336,0.0005493143,0.001436191,0.000774116,0.000356594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01494132,"about_ca_system_score_gemma":0.03255038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937459,"about_ca_topic_score_gemma":0.9971992,"domain_scores_codex":[0.9993702,0.00002231845,0.0000413721,0.0001096443,0.0001640447,0.0002924624],"domain_scores_gemma":[0.9974335,0.000114513,0.0003927518,0.00005787562,0.001615156,0.0003861848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001345647,0.00001881573,0.988393,0.00006710416,0.0001889021,0.00009289201,0.0006718052,0.000444059,0.0001981137,0.0002938922,0.004112436,0.005384277],"study_design_scores_gemma":[0.000002675566,0.000004447201,0.9948869,0.00004956323,0.00003445126,0.00002303933,0.0009207957,0.0002092274,0.00006176013,0.00002774919,0.003771547,0.000007689997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562482,0.002257038,0.0001061969,0.001041332,0.00006899555,0.00001463299,0.03615481,0.00002533182,0.004083471],"genre_scores_gemma":[0.977347,0.001286593,0.0001337979,0.0001294801,0.0000224325,0.00001742797,0.0176437,0.00001100001,0.003408635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01494132,"threshold_uncertainty_score":0.1084074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470648471184599,"score_gpt":0.2112410577804293,"score_spread":0.1965345730685833,"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."}}