{"id":"W582468619","doi":"","title":"A more fluid approach","year":2011,"lang":"en","type":"article","venue":"ICAO bulletin","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computational fluid dynamics; Engineering; Aeronautics; Internship; Table (database); Aviation; Mechanical engineering; Aerospace engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006995138,0.0001048858,0.0001136018,0.00006075003,0.00003398316,0.00001008454,0.0001823914,0.00009757719,0.0001620335],"category_scores_gemma":[0.00002990326,0.0000943516,0.00003566908,0.00008436703,0.00004737981,0.00001086255,0.00003888367,0.0001431867,0.0005515396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001446557,"about_ca_system_score_gemma":0.000002521778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003769357,"about_ca_topic_score_gemma":2.980834e-7,"domain_scores_codex":[0.9994906,0.000005613626,0.0001027729,0.0001195877,0.00007268914,0.0002087925],"domain_scores_gemma":[0.9996496,0.00001246196,0.000009765286,0.0002882075,0.00001144308,0.0000285508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005499131,0.0002724724,0.002572574,0.0004113369,0.0001986122,0.0001178062,0.008450902,0.00376463,0.004939628,0.01619687,0.8556257,0.1073945],"study_design_scores_gemma":[0.001153431,0.00021438,0.009065231,0.0001543631,0.00007245818,0.0001501944,0.002547678,0.01974165,0.3095402,0.002624684,0.6531671,0.001568641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2805352,0.000492061,0.07340837,0.0007902386,0.0005109841,0.0002781858,0.000006665419,0.01063716,0.6333411],"genre_scores_gemma":[0.9782708,0.00002068505,0.02106586,0.00007688411,0.00003644102,0.00001945626,0.000002060248,0.00002731486,0.000480477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6977356,"threshold_uncertainty_score":0.7089109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052361752879166,"score_gpt":0.1811237796253712,"score_spread":0.1606001620965796,"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."}}