{"id":"W2971696135","doi":"10.36740/wlek201906104","title":"PROS AND CONS OF TECHNOLOGY FOR PATIENTS","year":2019,"lang":"en","type":"article","venue":"Wiadomości Lekarskie","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton Regional Hospital; Dalhousie University","funders":"","keywords":"Harm; The Internet; Information technology; Social media; Health technology; Internet privacy; Biomedical technology; Medicine; Business; Risk analysis (engineering); Public relations; Computer science; Psychology; Health care; Engineering; Political science; World Wide Web; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005303858,0.0001408768,0.000454776,0.0001939421,0.000200027,0.000002202494,0.0001565397,0.0003587586,0.0001153555],"category_scores_gemma":[0.0003654715,0.0001245736,0.0000429284,0.0002200412,0.00008849439,0.00006591337,0.00008663216,0.000390001,0.0001921806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371394,"about_ca_system_score_gemma":0.0005301288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009105311,"about_ca_topic_score_gemma":0.00006988951,"domain_scores_codex":[0.998058,0.0001338922,0.0006636802,0.0003088635,0.0001482843,0.0006872855],"domain_scores_gemma":[0.998282,0.0005432344,0.0003818025,0.000382631,0.000309191,0.0001011502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000131627,0.0001356786,0.9483678,0.002636212,0.00003722706,3.021517e-7,0.0008504074,3.050283e-7,0.001579283,0.03267242,0.005399355,0.008189355],"study_design_scores_gemma":[0.02456582,0.006162712,0.1150527,0.002652041,0.0001011328,0.000009992184,0.003347944,0.0006672657,0.001560723,0.02400688,0.8208311,0.00104172],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858414,0.0003372947,0.0001082617,0.001596498,0.0009513257,0.00534756,0.00006516222,0.0001047669,0.005647765],"genre_scores_gemma":[0.9950513,0.00003508984,0.0008284268,0.0002560439,0.00008438824,0.0005832278,0.00001702883,0.00003656013,0.003107967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8333151,"threshold_uncertainty_score":0.5079966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206072606567983,"score_gpt":0.4022861605611027,"score_spread":0.3816788999043044,"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."}}