{"id":"W2557861686","doi":"10.4043/27446-ms","title":"Empirical Prediction of Sea Ice Surface Temperature from Surface Meteorological Parameters in Pistolet Bay Northern Newfoundland","year":2016,"lang":"en","type":"article","venue":"Arctic Technology Conference","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Centre For Cold Ocean Resources Engineering","funders":"Hibernia Management and Development Company","keywords":"Sea ice; Climatology; Environmental science; Cryosphere; Sea ice thickness; Sea ice concentration; Sea surface temperature; Geology; Arctic ice pack; Snow; Antarctic sea ice; Atmospheric sciences","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000349977,0.0003542377,0.0001915553,0.0008262812,0.0004267191,0.0006842277,0.0004677224,0.0002660646,0.001300847],"category_scores_gemma":[0.001179145,0.0002250558,0.0002917954,0.0009348562,0.0003479646,0.000362253,0.0003863834,0.0002950584,0.0003171119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004479409,"about_ca_system_score_gemma":0.002483941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.882283,"about_ca_topic_score_gemma":0.9250539,"domain_scores_codex":[0.9998121,0.00001407684,0.00001431844,0.0000596489,0.00003047329,0.00006942449],"domain_scores_gemma":[0.9991246,0.0001772601,0.0001770466,0.00006043996,0.0003378737,0.0001228107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007765971,0.00002670645,0.9840543,0.00002122463,0.00004577603,0.0001688242,0.0001481767,0.007495947,0.00105826,0.00002993626,0.001242394,0.005630929],"study_design_scores_gemma":[0.000004946978,0.00001089266,0.9891761,0.00001624929,0.00001251375,0.00002159083,0.0002898579,0.009750297,0.000254377,0.000006997454,0.0004482156,0.000008034832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964303,0.00008208144,0.0001822012,0.00004940629,0.000006134805,0.00000739497,0.002273274,0.00002041186,0.0009487442],"genre_scores_gemma":[0.9966274,0.00007235587,0.0002229781,0.00001978633,0.000002532225,0.00001069731,0.00250915,0.000004186859,0.0005309248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117717,"threshold_uncertainty_score":0.2368205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787721247188399,"score_gpt":0.2187165761130063,"score_spread":0.2008393636411223,"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."}}