{"id":"W2088392315","doi":"10.1177/1460458207082977","title":"RETRACTION: Computer literacy, skills and knowledge among dentists and professionals complementary to dentistry in Scotland","year":2007,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Literacy; Medical education; Quarter (Canadian coin); Information literacy; Medicine; Computer literacy; Psychology; Family medicine; Dentistry; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003156105,0.000168816,0.0002827951,0.0004865759,0.0004541004,0.0004690769,0.0001796237,0.0001071278,0.0001805947],"category_scores_gemma":[0.0001272949,0.0001538876,0.00003793963,0.0002936041,0.00007119189,0.0009492661,0.0002909194,0.0008742181,0.0001035088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003371738,"about_ca_system_score_gemma":0.0002923798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059106,"about_ca_topic_score_gemma":0.001765685,"domain_scores_codex":[0.9971508,0.0001291857,0.001318207,0.0001317934,0.0006084018,0.0006616535],"domain_scores_gemma":[0.9978742,0.0003377229,0.0003728588,0.0001468271,0.0001371272,0.001131281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001585674,0.0003904967,0.8058246,0.001251298,0.00003939038,0.0006851072,0.008275334,0.000007514318,0.000006475144,0.0001753982,0.09258608,0.09059971],"study_design_scores_gemma":[0.002203651,0.0002101857,0.9730481,0.0008455048,0.000004438559,0.006629644,0.001273155,0.0007208905,0.00001790848,0.0004175519,0.01444171,0.0001872706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981705,0.0004586283,0.01534203,0.0003104284,0.001410876,0.0004232793,0.00002988322,0.00001666727,0.0003032749],"genre_scores_gemma":[0.9867383,0.000220011,0.008851847,0.003025112,0.0003462343,0.000006717039,0.00003538984,0.00001669845,0.0007596575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1672235,"threshold_uncertainty_score":0.6275354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932591470894659,"score_gpt":0.4388090234962722,"score_spread":0.4094831087873256,"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."}}