{"id":"W3193449086","doi":"10.3940/rina.icsot.2009.02","title":"Numerical Prediction for Resistance of Canadian Icebreaker Ccgs Terry Fox In Level Ice","year":2009,"lang":"en","type":"article","venue":"","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Resistance (ecology); Meteorology; Marine engineering; Environmental science; Engineering; Physics; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002747689,0.000439692,0.0003675223,0.0006082362,0.001435881,0.001004031,0.0007576615,0.0009166477,0.003257454],"category_scores_gemma":[0.001169923,0.0002837345,0.0004745651,0.0003138174,0.0005896228,0.0003586937,0.0003687086,0.000598166,0.0003318242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006664255,"about_ca_system_score_gemma":0.004007089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8074626,"about_ca_topic_score_gemma":0.7442667,"domain_scores_codex":[0.9998643,0.000006706464,0.000002912829,0.00002333998,0.00003778657,0.0000649562],"domain_scores_gemma":[0.9996151,0.0000799297,0.00002909855,0.00001406247,0.00017528,0.00008652431],"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":[0.0001114212,0.00005460287,0.02288864,0.00002055426,0.00001882815,0.0001633511,0.00008721754,0.966796,0.003780543,0.0006869481,0.001321652,0.004070184],"study_design_scores_gemma":[0.00001815679,0.00003711026,0.01968517,0.000006439374,0.000009898488,0.000009803621,0.0001315542,0.9780637,0.001447495,0.00008078144,0.0004950217,0.00001492888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885274,0.00005899625,0.001020849,0.0001244957,0.0000332149,0.00001819407,0.000341905,0.00008360218,0.009791322],"genre_scores_gemma":[0.9969532,0.00002403207,0.0003704333,0.00001096569,0.000003192346,0.000004247887,0.0001798149,0.0000179137,0.002436069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1925374,"threshold_uncertainty_score":0.3873425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233905239371472,"score_gpt":0.2238580837155838,"score_spread":0.2015190313218691,"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."}}