{"id":"W7071485126","doi":"","title":"A személyhez fűződő jogok vagyoni vonatkozásai - új fejlemények","year":2014,"lang":"hu","type":"article","venue":"ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University)","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selfie; Subject (documents); Quarter (Canadian coin)","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":[0.001172074,0.0006795168,0.0004823131,0.0009338332,0.003299782,0.007080994,0.0009499472,0.001984901,0.0937885],"category_scores_gemma":[0.002278954,0.0003618883,0.0004480003,0.000734562,0.001600095,0.003303641,0.004448697,0.002500256,0.02713089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990694,"about_ca_system_score_gemma":0.002474478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050018,"about_ca_topic_score_gemma":0.02073104,"domain_scores_codex":[0.9990655,0.00008739944,0.00003399787,0.0002041937,0.0003786317,0.0002304175],"domain_scores_gemma":[0.9990845,0.000106236,0.00006435586,0.0001361202,0.0003895071,0.0002193465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001485014,0.0003807406,0.0154892,0.001325722,0.0001240496,0.002218144,0.0116444,0.001034389,0.0424252,0.2217216,0.33009,0.3720615],"study_design_scores_gemma":[0.00001154256,0.00004462493,0.003697504,0.0001223302,0.00001734892,0.0002852782,0.001692178,0.0002114889,0.004234847,0.004793876,0.9848598,0.00002922673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09439831,0.009726133,0.01610616,0.02852467,0.009893817,0.0002017881,0.002773909,0.002174757,0.8362005],"genre_scores_gemma":[0.1952381,0.0044523,0.008663534,0.004082137,0.0008422669,0.0001192982,0.001917763,0.001346762,0.7833378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0937885,"threshold_uncertainty_score":0.3137538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128794929974671,"score_gpt":0.202217612244868,"score_spread":0.1909296629451213,"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."}}