{"id":"W4403538768","doi":"10.14232/phd.11863","title":"LASCA véráramlásmérő rendszer fejlesztése és a kiértékelést befolyásoló egyes folyamatok fontosságának vizsgálata","year":2024,"lang":"hu","type":"dissertation","venue":"","topic":"Environmental Science and Water Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"NAK; Computer science; Library science; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001160689,0.001858091,0.001188804,0.0004329199,0.0009599231,0.001327535,0.002743244,0.00102601,0.04245631],"category_scores_gemma":[0.00004379139,0.001587056,0.0009092991,0.001333553,0.0008215011,0.001711266,0.002139212,0.001332377,0.07092223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306731,"about_ca_system_score_gemma":0.0000770349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005750285,"about_ca_topic_score_gemma":0.008545993,"domain_scores_codex":[0.9890708,0.0002228643,0.001715246,0.003689735,0.003006776,0.002294542],"domain_scores_gemma":[0.9963312,0.0001202601,0.0005424823,0.00206584,0.00001940127,0.0009208065],"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":[0.000850995,0.005326918,0.06199794,0.004138294,0.002604244,0.002666011,0.05593015,0.002915274,0.07401999,0.008490827,0.5312462,0.2498131],"study_design_scores_gemma":[0.002955035,0.001828589,0.1945659,0.002569794,0.002647599,0.0001201192,0.04125451,0.00953202,0.03114655,0.008325946,0.6960652,0.008988786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5991508,0.002522811,0.0002907064,0.003476591,0.006330833,0.003079209,0.0003089872,0.0007181548,0.3841219],"genre_scores_gemma":[0.6618109,0.001844835,0.000950574,0.001184615,0.0004070894,0.0003042174,0.001315216,0.0002444635,0.3319381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2408244,"threshold_uncertainty_score":0.9997092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006132131413889973,"score_gpt":0.236326255149282,"score_spread":0.2301941237353921,"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."}}