{"id":"W4388405717","doi":"10.1097/cin.0000000000001080","title":"Characterizing eHealth Behaviors in Health Consumers","year":2023,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"eHealth; Psychology; Art history; Art; Political science; Health care; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001438575,0.0001142219,0.0001773752,0.0006964981,0.0003892219,0.0006750199,0.0002257028,0.0005065789,0.003488902],"category_scores_gemma":[0.00631771,0.0001399108,0.0003403559,0.0006557932,0.0001070256,0.0004515312,0.0003854609,0.0004696471,0.0005197414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003699141,"about_ca_system_score_gemma":0.0005194368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009181964,"about_ca_topic_score_gemma":0.01438155,"domain_scores_codex":[0.9994308,0.0001565868,0.00007654822,0.00005417666,0.0002153418,0.00006664098],"domain_scores_gemma":[0.9981773,0.0006862082,0.0004156902,0.00006559466,0.0004836704,0.000171601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001231261,0.000281929,0.9677837,0.00004991286,0.00003341713,0.00001695049,0.0005263966,0.00002559624,0.0002278081,0.00002611928,0.00167683,0.02922803],"study_design_scores_gemma":[0.000008332541,0.0002135352,0.9964862,0.00004865664,0.00002945666,0.0000576459,0.001477082,0.0002847482,0.000250902,0.00004649655,0.001089896,0.000007137198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931555,0.0004775219,0.0002583841,0.0008756607,0.00002307882,0.00009957995,0.001515914,0.00001414997,0.003580245],"genre_scores_gemma":[0.9930009,0.0007150198,0.001148585,0.0007286732,0.00003637783,0.0001499771,0.001312113,0.000009222174,0.002899222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009181964,"threshold_uncertainty_score":0.01825708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09488107597701233,"score_gpt":0.4497230695318336,"score_spread":0.3548419935548213,"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."}}