{"id":"W4317038689","doi":"10.1503/cmaj.221816","title":"A patient’s perspective on long COVID: improvement month to month not week to week","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Perspective (graphical); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Betacoronavirus; Computer science; Virology; Internal medicine; Outbreak; Artificial intelligence","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":[0.001132721,0.0002642928,0.0004423338,0.0004818779,0.002680125,0.001631449,0.0005188423,0.003413239,0.04371678],"category_scores_gemma":[0.009785429,0.0001551884,0.0005235526,0.00048982,0.0008882979,0.002794609,0.001004909,0.007656319,0.009211354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547981,"about_ca_system_score_gemma":0.002181754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009325832,"about_ca_topic_score_gemma":0.02175002,"domain_scores_codex":[0.9990891,0.0003083533,0.00008214065,0.00007810725,0.0002351546,0.0002071718],"domain_scores_gemma":[0.9956576,0.0007384378,0.0003627636,0.0001035082,0.0008586432,0.002279179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000149945,0.0001336474,0.00525102,0.0001931248,0.00002118591,0.002218395,0.0005000504,0.00004058966,0.0002004837,0.00176044,0.9364314,0.05309976],"study_design_scores_gemma":[0.0001913456,0.0005721024,0.02690087,0.002502703,0.0000961926,0.01632966,0.003522892,0.0001941181,0.0003654294,0.004744323,0.9444424,0.0001378531],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006153988,0.02084911,0.0004795119,0.8826816,0.02115882,0.00004593471,0.0005329046,0.0001727513,0.06792535],"genre_scores_gemma":[0.2040547,0.08742464,0.002635407,0.5743155,0.05371442,0.0001192262,0.001270063,0.0002295852,0.07623654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04371678,"threshold_uncertainty_score":0.1462472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072613051234737,"score_gpt":0.2799159729687932,"score_spread":0.2691898424564458,"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."}}