{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003363735,0.00007093148,0.0001071611,0.0001060273,0.0001781054,0.00001473824,0.0000521093,0.00002088623,0.0006061628],"category_scores_gemma":[0.00005724693,0.000051667,0.00002393729,0.0002068121,0.0000384972,0.00002454848,0.0001166365,0.000240216,0.00001247777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002494044,"about_ca_system_score_gemma":0.00004812992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001608772,"about_ca_topic_score_gemma":0.0002763836,"domain_scores_codex":[0.999341,0.00000977203,0.0001262577,0.0001786944,0.0001833604,0.0001609083],"domain_scores_gemma":[0.9997411,0.00001991313,0.00003593355,0.0000738068,0.00001265988,0.0001165984],"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":[0.001219738,0.000113133,0.9437468,0.0003215333,0.00003250272,0.0002636162,0.01556777,0.000007739796,0.0008493704,0.001076344,0.01656783,0.02023362],"study_design_scores_gemma":[0.001293734,0.0005035505,0.1141971,0.00001063162,0.00003072046,0.002839127,0.005391562,0.0002244281,0.000007346943,0.0006846114,0.87472,0.00009727343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797636,0.0001288697,0.00001249028,0.01662733,0.0001197129,0.0003925242,0.000002908428,0.00005278202,0.002899829],"genre_scores_gemma":[0.9742305,0.00003620919,0.00001999328,0.02153075,0.00006390644,0.0001573956,0.000001599161,0.00001047073,0.003949179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8581521,"threshold_uncertainty_score":0.6637058,"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."}}