{"id":"W3163119423","doi":"10.32560/rk.2020.3.4","title":"A leggyakoribb hibák a légi közlekedésben","year":2020,"lang":"hu","type":"article","venue":"Repüléstudományi Közlemények","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Medicine; Food science; Traditional medicine; Chemistry","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":[0.001596785,0.0007886776,0.0004982275,0.001093716,0.001867521,0.005836166,0.0009709214,0.00200816,0.03992169],"category_scores_gemma":[0.004069024,0.0004156564,0.0006576157,0.0005861081,0.004024679,0.004849072,0.004970511,0.002245916,0.008751492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002681098,"about_ca_system_score_gemma":0.003062437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004244025,"about_ca_topic_score_gemma":0.005566455,"domain_scores_codex":[0.9986036,0.0003610463,0.00008026147,0.0002780241,0.000479369,0.0001977084],"domain_scores_gemma":[0.9978243,0.0006616291,0.0002456564,0.0003257042,0.0006108422,0.0003319435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007624259,0.0007551935,0.01798199,0.001765505,0.0001224838,0.001748416,0.02721581,0.00330742,0.0216003,0.5346057,0.04382561,0.3463091],"study_design_scores_gemma":[0.00007111106,0.0004691991,0.02040258,0.0009895921,0.0001103991,0.001815058,0.01968031,0.004373698,0.0103789,0.1951426,0.7464062,0.0001602775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1526563,0.007290895,0.1199363,0.03056974,0.001747389,0.0003027642,0.0007575203,0.001719576,0.6850196],"genre_scores_gemma":[0.724111,0.004972441,0.03894619,0.004109669,0.0003132116,0.0002507442,0.0006158394,0.0005258856,0.2261551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03992169,"threshold_uncertainty_score":0.1335513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06911809942644741,"score_gpt":0.3715534399470283,"score_spread":0.3024353405205809,"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."}}