{"id":"W2744554559","doi":"10.17064/iuifd.333165","title":"NORMAN VE SKINNER’IN E-SAĞLIK OKURYAZARLIĞI ÖLÇEĞİNİN KÜLTÜREL UYARLAMASI İÇİN GEÇERLİLİK VE GÜVENİLİRLİK ÇALIŞMASI","year":2017,"lang":"tr","type":"article","venue":"İstanbul Üniversitesi İletişim Fakültesi Dergisi | Istanbul University Faculty of Communication Journal","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turkish; Psychology; Literacy; Validity; Equivalence (formal languages); Test (biology); Confirmatory factor analysis; Social psychology; Mathematics education; Psychometrics; Structural equation modeling; Developmental psychology; Pedagogy; Statistics; Mathematics; Linguistics; Philosophy","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":[0.003232017,0.0003696783,0.0002596182,0.0008207702,0.001241724,0.002543835,0.0004622058,0.000593636,0.006419702],"category_scores_gemma":[0.01412828,0.0001612183,0.0002692411,0.001266091,0.001540417,0.002806909,0.001490217,0.0008988197,0.001047912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629888,"about_ca_system_score_gemma":0.002285122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085557,"about_ca_topic_score_gemma":0.01116085,"domain_scores_codex":[0.9976268,0.001050708,0.0002158203,0.0002008852,0.0007666965,0.0001389863],"domain_scores_gemma":[0.9950713,0.002618839,0.0005015858,0.0002925859,0.00130405,0.0002117095],"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":[0.0003844594,0.0005166099,0.0967795,0.0005453888,0.00005464189,0.001289819,0.03582989,0.0007923383,0.001832125,0.05590737,0.02600265,0.7800652],"study_design_scores_gemma":[0.0001169197,0.0007805491,0.3702423,0.002282309,0.0001546825,0.003338451,0.09302137,0.00568627,0.01011679,0.04424492,0.469752,0.0002633499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7581998,0.008646542,0.0242931,0.01497631,0.0009719196,0.000395349,0.000519416,0.0001501095,0.1918475],"genre_scores_gemma":[0.9640124,0.00312851,0.01142208,0.001018173,0.00006281976,0.0002449841,0.0003190104,0.00003135306,0.01976054],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01085557,"threshold_uncertainty_score":0.02158475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0514006067354849,"score_gpt":0.3752361490109599,"score_spread":0.323835542275475,"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."}}