{"id":"W4212775913","doi":"10.2196/36888","title":"eHealth in Norway Before and After the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Telemedicine; Norwegian; Pandemic; eHealth; Telehealth; Government (linguistics); Coronavirus disease 2019 (COVID-19); Health care; Medicine; Videoconferencing; Medical emergency; Nursing; Internet privacy; Multimedia; Political science; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002828083,0.0002638995,0.0002996572,0.0006283502,0.001822347,0.003258089,0.0004327387,0.00137192,0.006316651],"category_scores_gemma":[0.004003355,0.000173323,0.0003717067,0.0008540163,0.001802726,0.001860816,0.002217615,0.001664418,0.0005672881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008385523,"about_ca_system_score_gemma":0.01769957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1226402,"about_ca_topic_score_gemma":0.1365904,"domain_scores_codex":[0.9977424,0.0006645296,0.0002096946,0.0002518198,0.0004690373,0.0006625632],"domain_scores_gemma":[0.9982144,0.000667803,0.0002370875,0.00003567724,0.0002717177,0.000573508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001646699,0.000448243,0.0830607,0.00764998,0.00006809232,0.02599742,0.1076345,0.001607221,0.002881565,0.05002126,0.1720728,0.5469114],"study_design_scores_gemma":[0.00008358982,0.0005022833,0.07641926,0.009320616,0.00004706517,0.003844235,0.09033959,0.0002604224,0.0007357602,0.002945943,0.8153925,0.000108723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3129113,0.3391143,0.002026918,0.1040668,0.02892128,0.0002615567,0.003846896,0.0002177141,0.2086333],"genre_scores_gemma":[0.807434,0.1383919,0.002537017,0.01376343,0.002345047,0.0001639518,0.00133989,0.0001479405,0.0338769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1226402,"threshold_uncertainty_score":0.2438526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154651809529266,"score_gpt":0.2853774461364771,"score_spread":0.2638309280411845,"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."}}