{"id":"W2626465413","doi":"","title":"Extreme Value Analysis of Ice Accretion Data From Norwegian Measurement Rack Network","year":2001,"lang":"en","type":"article","venue":"The Eleventh International Offshore and Polar Engineering Conference","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université du Québec à Chicoutimi","funders":"","keywords":"Norwegian; Rack; Accretion (finance); Geology; Environmental science; Physics; Engineering; Astrophysics; Mechanical engineering","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":[0.00152013,0.0003243586,0.0003210666,0.001645627,0.0004141872,0.0005752559,0.0005195965,0.0005046718,0.0006335395],"category_scores_gemma":[0.005959772,0.0001816113,0.0003673444,0.002180127,0.0002982731,0.0006320622,0.0005375008,0.0004119011,0.0002661105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005906575,"about_ca_system_score_gemma":0.0005625873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02554169,"about_ca_topic_score_gemma":0.03001781,"domain_scores_codex":[0.998431,0.0004581189,0.0001214543,0.000253674,0.0004811386,0.0002546683],"domain_scores_gemma":[0.9969014,0.001387463,0.0003560576,0.0004179412,0.0008107691,0.0001264856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001580691,0.0002872317,0.6130664,0.0001736249,0.0003838174,0.001318116,0.0005095853,0.2794543,0.008995572,0.002377972,0.01012505,0.08172763],"study_design_scores_gemma":[0.00003063564,0.0001001012,0.6775873,0.00004877806,0.00005687417,0.0004155347,0.0005084594,0.3105516,0.003318762,0.001544701,0.005770134,0.00006715311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873438,0.0001787751,0.005292346,0.0001192627,0.00003601243,0.00001475577,0.005561672,0.00009033955,0.001363147],"genre_scores_gemma":[0.9811463,0.00007822908,0.00297791,0.00001359873,0.00001858311,0.0000154146,0.01541343,0.00002474356,0.0003117954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02554169,"threshold_uncertainty_score":0.05078602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06513674149978882,"score_gpt":0.2490066034103424,"score_spread":0.1838698619105535,"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."}}