{"id":"W7111983419","doi":"","title":"Külhoni magyar tudósportrék. Nagy Éva (Szeghalom, 1951. október 23.)","year":2024,"lang":"hu","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Magyar Tudományos Akadémia; University of Guelph","keywords":"Context (archaeology); Focus (optics); Period (music)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004187406,0.001398076,0.0009169372,0.001570548,0.001007058,0.002437447,0.0005878469,0.001102161,0.1163246],"category_scores_gemma":[0.0006139685,0.000615588,0.0002234511,0.002854431,0.0007831051,0.002972399,0.001893487,0.001485311,0.05864251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010479,"about_ca_system_score_gemma":0.0005707456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005131498,"about_ca_topic_score_gemma":0.009378669,"domain_scores_codex":[0.9997377,0.00003829333,0.0000312583,0.00006421892,0.00007606109,0.00005254769],"domain_scores_gemma":[0.9998881,0.00003795066,0.00002347024,0.000009830233,0.00002254057,0.00001817998],"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":[0.0005725467,0.00008771844,0.0009754072,0.001085125,0.00003825128,0.0007492998,0.001165178,0.0002811583,0.001106194,0.01067135,0.7006041,0.2826636],"study_design_scores_gemma":[0.00002678903,0.00003554057,0.003352107,0.0003365059,0.000008504583,0.000287713,0.000381601,0.00003565876,0.0003451822,0.001545692,0.993633,0.00001163128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01109935,0.6560543,0.000678794,0.01325292,0.02524345,0.00008596498,0.01091199,0.0003705701,0.2823027],"genre_scores_gemma":[0.07875223,0.2051136,0.0010765,0.00126798,0.003412746,0.0001120244,0.00402647,0.0003999893,0.7058384],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1163246,"threshold_uncertainty_score":0.3891447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743943667267966,"score_gpt":0.2778855073640556,"score_spread":0.2504460706913759,"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."}}