{"id":"W2106849803","doi":"10.2196/med20.3128","title":"Transforming Patient Experience: Health Web Science Meets Medicine 2.0","year":2014,"lang":"en","type":"article","venue":"Medicine 2 0","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of the Highlands and Islands","keywords":"Participatory design; Health care; Engineering ethics; The Internet; Participatory action research; Citizen journalism; Field (mathematics); Action (physics); Call to action; Interdisciplinarity; Knowledge management; Psychology; Sociology; Computer science; World Wide Web; Engineering; Political science; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593503,0.000205155,0.0003546715,0.0007428451,0.0005127335,0.00002278219,0.001213768,0.00005657466,0.0001151005],"category_scores_gemma":[0.0005880839,0.0001464155,0.00002252372,0.001793129,0.001590544,0.0007403832,0.000142091,0.0003277184,0.00003816506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307241,"about_ca_system_score_gemma":0.000177326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102547,"about_ca_topic_score_gemma":0.00002116015,"domain_scores_codex":[0.9972559,0.00007821003,0.0005803299,0.0006211002,0.0009005797,0.0005639061],"domain_scores_gemma":[0.9984407,0.0001077478,0.000256268,0.0007305878,0.0003046133,0.0001600393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009775461,0.00006475458,0.0002843795,0.00003633877,0.000009010916,0.00001305175,0.042816,0.000006226228,0.08920009,0.4216557,0.008384986,0.4375197],"study_design_scores_gemma":[0.004297513,0.009886012,0.004484613,0.001846577,0.00001680692,0.0005781045,0.007474891,0.0550913,0.09188992,0.01501292,0.8083612,0.001060092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.356908,0.0003407133,0.4652262,0.1369529,0.004699626,0.0006029942,5.831266e-7,0.0007692993,0.03449973],"genre_scores_gemma":[0.989889,0.00002286342,0.003518639,0.00618924,0.0002401086,0.00003682515,0.000001731584,0.000009442258,0.00009218705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7999763,"threshold_uncertainty_score":0.5970651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266260471771151,"score_gpt":0.3309553615304712,"score_spread":0.3082927568127597,"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."}}