{"id":"W7038402274","doi":"","title":"Időskorúak, szeniorok olvasási kedve, olvasási palettája, olvasáshoz való viszonya = Reading for Its Own Sake, Range of Interest in Reading and Relation to Reading in case of Elderly People","year":2020,"lang":"hu","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Elderly people; Relation (database); Quarter (Canadian coin); Older people","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":[0.00132318,0.0004953506,0.0007213249,0.001786341,0.001983104,0.004884226,0.0006536816,0.001162257,0.04938053],"category_scores_gemma":[0.004424219,0.0002090343,0.0006247402,0.001631323,0.001889541,0.002605323,0.002897895,0.001864229,0.0107984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249369,"about_ca_system_score_gemma":0.002835221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206776,"about_ca_topic_score_gemma":0.01434814,"domain_scores_codex":[0.9985159,0.0003456026,0.0001386106,0.0002609126,0.0004558967,0.0002831626],"domain_scores_gemma":[0.9979552,0.0005479145,0.0003566201,0.0001679822,0.0005191901,0.0004530619],"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":[0.001245388,0.000881094,0.1984105,0.004139649,0.0002396738,0.009197861,0.05932836,0.0002281994,0.006059634,0.06151515,0.1113125,0.5474421],"study_design_scores_gemma":[0.00006226081,0.0002515912,0.2044751,0.00271623,0.0002064422,0.01212359,0.05576432,0.0001919717,0.002535988,0.01851079,0.7030278,0.0001338236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3927589,0.05603724,0.005620932,0.04011442,0.003367405,0.0002935478,0.00417545,0.0003842047,0.497248],"genre_scores_gemma":[0.7755963,0.03198485,0.005192455,0.007211514,0.001234098,0.0002515492,0.002238929,0.0002625615,0.1760276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04938053,"threshold_uncertainty_score":0.1651943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06461247134444623,"score_gpt":0.2546074402553562,"score_spread":0.18999496891091,"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."}}