{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001736742,0.0002521896,0.0005307518,0.001004863,0.001130106,0.00002294956,0.0002536393,0.0002158416,0.00004796829],"category_scores_gemma":[0.0001096836,0.000281172,0.00006447895,0.001254295,0.0001005759,0.0004729168,0.0000968012,0.001187232,0.0006901028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852956,"about_ca_system_score_gemma":0.000827507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000501557,"about_ca_topic_score_gemma":0.00006502303,"domain_scores_codex":[0.995153,0.0005639669,0.002268616,0.0002162192,0.0004502004,0.001348002],"domain_scores_gemma":[0.9973031,0.0007634761,0.0009856438,0.0004382018,0.0001091876,0.0004004457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004006491,0.00003753798,0.6739671,0.002844135,0.00001252292,0.000007885196,0.1529049,0.0006516609,0.00002053663,0.001158826,0.01697033,0.1513844],"study_design_scores_gemma":[0.002233011,0.0002128785,0.8672378,0.01151178,0.000008731638,0.00001298262,0.04891178,0.05805342,0.0000147384,0.0003749417,0.01084889,0.0005790118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707901,0.00007950857,0.007180552,0.006849209,0.009770186,0.002104567,0.00005080578,0.0009194496,0.002255593],"genre_scores_gemma":[0.9841242,0.0002364887,0.00817087,0.006737542,0.0001612396,0.000126825,0.0002823257,0.00006056344,0.00009989367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932707,"threshold_uncertainty_score":0.9999641,"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."}}