{"id":"W4281830499","doi":"10.37775/eis.2022.1.3","title":"Jeges szárnyalak aerodinamikájának vizsgálata","year":2022,"lang":"hu","type":"article","venue":"Mérnöki és Informatikai Megoldások","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Savaria (Canada)","funders":"","keywords":"NAK; Humanities; Physics; Art; Engineering; Telecommunications","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":[0.001934779,0.0007398278,0.0008745627,0.001465479,0.001091617,0.004789563,0.0007749902,0.001360202,0.03410322],"category_scores_gemma":[0.002566982,0.0003791459,0.001125156,0.001088731,0.001423535,0.002134318,0.00227518,0.0018454,0.008743442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146218,"about_ca_system_score_gemma":0.00272721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003229089,"about_ca_topic_score_gemma":0.004780668,"domain_scores_codex":[0.9983256,0.0003543022,0.0001551368,0.0003077635,0.0006139062,0.0002432734],"domain_scores_gemma":[0.9985391,0.000404852,0.0002194285,0.0001749276,0.0004951036,0.0001667311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002747732,0.0006167468,0.01429355,0.005612695,0.0003550763,0.002298304,0.002612524,0.001422962,0.05757326,0.0349397,0.03197031,0.8455571],"study_design_scores_gemma":[0.0001358572,0.0009376805,0.02267047,0.00146808,0.0003818184,0.004905573,0.003094745,0.0009953382,0.03394193,0.01220624,0.9191265,0.0001358495],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2394064,0.2109933,0.07059924,0.03156801,0.005130913,0.0009379138,0.00321011,0.002251716,0.4359025],"genre_scores_gemma":[0.620344,0.1364213,0.0381261,0.006506827,0.001646368,0.0005354059,0.002854808,0.000743144,0.192822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03410322,"threshold_uncertainty_score":0.1140866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379115903950576,"score_gpt":0.2770660962563894,"score_spread":0.2532749372168837,"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."}}