{"id":"W1980663591","doi":"10.4043/23827-ms","title":"Historical Analysis of Ice Conditions for Risk Assessment","year":2012,"lang":"en","type":"article","venue":"OTC Arctic Technology Conference","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Sea ice; Remote sensing; Iceberg; Arctic; Satellite; Sea ice concentration; Synthetic aperture radar; Arctic ice pack; Cryosphere; Environmental science; Radar; Satellite imagery; Geology; Meteorology; Sea ice thickness; Climatology; Computer science; Oceanography; Geography; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001332103,0.000501811,0.0002144569,0.005821212,0.0003142515,0.001176387,0.0003492251,0.0002194157,0.00763385],"category_scores_gemma":[0.003774461,0.0001323801,0.000485441,0.003139666,0.0002045471,0.0009068758,0.0004726221,0.0003988333,0.0013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008921955,"about_ca_system_score_gemma":0.0003510821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00576197,"about_ca_topic_score_gemma":0.007162629,"domain_scores_codex":[0.9992846,0.0001445457,0.00006934209,0.0001118839,0.0003283575,0.0000614352],"domain_scores_gemma":[0.9974837,0.0005580303,0.0006164747,0.0002429651,0.0009216198,0.0001771387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002437259,0.0001383931,0.5943193,0.0005196656,0.0003956387,0.0004281597,0.0003193121,0.08311567,0.002011358,0.009755135,0.01801963,0.2907339],"study_design_scores_gemma":[0.00002252388,0.0004296229,0.7506486,0.0004878629,0.0002039622,0.0004663392,0.000852435,0.1541261,0.00437084,0.008193649,0.08009157,0.0001065387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7052283,0.009006563,0.07523736,0.0006172476,0.000435581,0.0005606473,0.081666,0.001322999,0.1259253],"genre_scores_gemma":[0.9585248,0.001778707,0.01367187,0.00004364096,0.000155743,0.0001462501,0.01957853,0.00007772969,0.006022652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00763385,"threshold_uncertainty_score":0.02553773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771902068514609,"score_gpt":0.2605294935008096,"score_spread":0.2428104728156635,"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."}}