{"id":"W1996266846","doi":"10.1016/j.buildenv.2004.08.004","title":"Numerical prediction of ventilation patterns and thermal processes in ice rinks","year":2004,"lang":"en","type":"article","venue":"Building and Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ceiling (cloud); Turbulence; Latent heat; Convection; Mechanics; Meteorology; Thermal; Heat flux; Convective heat transfer; Mass flux; Heat transfer; Environmental science; Materials science; Physics","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":[0.0002760755,0.0004451312,0.0006297289,0.0004084204,0.0006773246,0.0008705093,0.0007814529,0.001287036,0.001353835],"category_scores_gemma":[0.001577366,0.0005327871,0.0005755361,0.0003876592,0.001175691,0.0006437783,0.0004410719,0.0007234263,0.0001345023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155944,"about_ca_system_score_gemma":0.0009758333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06689554,"about_ca_topic_score_gemma":0.03196231,"domain_scores_codex":[0.9999117,0.0000218414,0.000006336538,0.00002027114,0.00001353279,0.00002628943],"domain_scores_gemma":[0.999447,0.0003496981,0.00004838437,0.00003319098,0.00005560054,0.00006608486],"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":[0.00004003237,0.00003285934,0.002614264,0.000007028376,0.000008577266,0.0000316693,0.00001759612,0.9956076,0.0005575983,0.0002531842,0.00004666028,0.0007829284],"study_design_scores_gemma":[0.00001222222,0.00001075958,0.001340488,0.000001699922,0.000002937101,0.000003566945,0.0000156655,0.9983109,0.0001810404,0.00008636298,0.00003105132,0.000003327042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926381,0.00006742658,0.004105158,0.00007773092,0.00002083681,0.00001498017,0.0001268648,0.0000737464,0.002875076],"genre_scores_gemma":[0.9984706,0.00003230689,0.0008966429,0.00000817759,0.000006891955,0.000009706617,0.00006062131,0.00001216141,0.0005028622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06689554,"threshold_uncertainty_score":0.1330124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008333986125830353,"score_gpt":0.1966912613731325,"score_spread":0.1883572752473021,"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."}}