{"id":"W2326500577","doi":"10.2514/6.2003-1222","title":"FENSAP-ICE: Roughness Effects on Ice Accretion Prediction","year":2003,"lang":"en","type":"article","venue":"41st Aerospace Sciences Meeting and Exhibit","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Surface roughness; Accretion (finance); Surface finish; Sea ice; Sea ice growth processes; Sea ice thickness; Materials science; Arctic ice pack; Climatology; Physics; Astrophysics; Composite material","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":[0.0004797452,0.0004691431,0.0005875533,0.0002324068,0.000351478,0.0004942535,0.0006316346,0.0004490547,0.001366221],"category_scores_gemma":[0.001279219,0.000301158,0.0003909787,0.0002698934,0.0002433778,0.000548034,0.0003841723,0.000510363,0.000197751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005091727,"about_ca_system_score_gemma":0.0006958923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02852614,"about_ca_topic_score_gemma":0.01884411,"domain_scores_codex":[0.9998693,0.00003378624,0.000005581903,0.0000240018,0.00004304031,0.00002418362],"domain_scores_gemma":[0.9995491,0.0002096105,0.00002932168,0.00005157233,0.0001202763,0.00004012254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000158925,0.00004361548,0.006653167,0.00003228529,0.0000271063,0.00005479049,0.00003728915,0.9711557,0.00575109,0.0002882517,0.001336611,0.01446119],"study_design_scores_gemma":[0.00001765903,0.00001780646,0.0009596709,0.000001590048,0.000002972389,0.000006580071,0.000003796862,0.9961472,0.002531646,0.0000424458,0.0002644608,0.000004282232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9257918,0.0001855586,0.06143818,0.0001830906,0.00008604459,0.00007516238,0.001626772,0.00343431,0.007178978],"genre_scores_gemma":[0.973154,0.0000645867,0.0251117,0.00002819417,0.00001222409,0.0000329527,0.0006599622,0.000240503,0.0006959863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02852614,"threshold_uncertainty_score":0.0567202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442240452473338,"score_gpt":0.2231029313603111,"score_spread":0.2086805268355778,"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."}}