{"id":"W7045721681","doi":"","title":"Az állampolgárok állatvédelemmel kapcsolatos jogszabályi ismereteinek kérdőíves felmérése","year":2013,"lang":"en","type":"dissertation","venue":"Hungarian Veterinary Archive","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Quarter (Canadian coin); Welfare; Work (physics); Administration (probate law); Agriculture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007082489,0.0005354426,0.0004744466,0.0008795048,0.001066866,0.0026127,0.0003409508,0.0005569179,0.04250214],"category_scores_gemma":[0.000905594,0.0002077315,0.0002048084,0.0007475954,0.0007129425,0.00128096,0.001104377,0.001177351,0.01525258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496166,"about_ca_system_score_gemma":0.001707819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185316,"about_ca_topic_score_gemma":0.002856669,"domain_scores_codex":[0.9996721,0.00006046674,0.00001550686,0.0000792474,0.0001118467,0.00006082173],"domain_scores_gemma":[0.9996952,0.00006063133,0.00004209931,0.00001409814,0.0001135473,0.00007449776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006960024,0.0004197078,0.01119111,0.002214836,0.00004596583,0.001706595,0.009111639,0.0009640118,0.007962884,0.06123589,0.2989716,0.6054797],"study_design_scores_gemma":[0.00001946924,0.0001061653,0.02111355,0.00103136,0.000024231,0.0009604859,0.00442454,0.0003564164,0.004761572,0.005129977,0.9620405,0.00003176977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2623841,0.1449322,0.01029597,0.05582077,0.008380554,0.0002418059,0.004733647,0.0008452645,0.5123656],"genre_scores_gemma":[0.5053626,0.07797598,0.01016331,0.002426412,0.001322947,0.0001938039,0.001769471,0.0002918724,0.4004937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04250214,"threshold_uncertainty_score":0.1421838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555436911099605,"score_gpt":0.2739098880150915,"score_spread":0.2583555189040955,"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."}}