{"id":"W3042511484","doi":"10.1097/jdn.0000000000000556","title":"Reflecting Back—Moving Forward","year":2020,"lang":"en","type":"article","venue":"Journal of the Dermatology Nurses’ Association","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003888611,0.00009033921,0.0003832307,0.00007477945,0.0001294355,0.00001850669,0.0001279888,0.0001774376,0.00004418557],"category_scores_gemma":[0.005102269,0.00006324865,0.0002210502,0.0002588321,0.00001527024,0.0001361423,0.00002833145,0.0005997461,0.00003895032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006561201,"about_ca_system_score_gemma":0.0004686928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001141125,"about_ca_topic_score_gemma":0.00001129354,"domain_scores_codex":[0.9985759,0.0002082498,0.0005214185,0.00008409354,0.0003655789,0.0002447187],"domain_scores_gemma":[0.9978911,0.0003663058,0.001114663,0.0001003449,0.0003450242,0.0001825404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003097226,0.00006797681,0.8856548,0.0001963564,0.0002692078,0.0001000593,0.004501065,0.00002909386,0.005603889,0.00009104258,0.09956534,0.003611429],"study_design_scores_gemma":[0.006617932,0.0007617783,0.7932385,0.0006850769,0.001022939,0.004946692,0.002123269,0.001599325,0.0167419,0.001191219,0.1707491,0.0003223196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6200443,0.0002052652,0.000227852,0.3768327,0.00131552,0.0001528698,0.000001560967,0.00001798975,0.001201912],"genre_scores_gemma":[0.9763774,0.00003627965,0.0002649509,0.02241896,0.0005711482,5.775271e-7,9.17231e-7,0.00001311962,0.0003166921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.356333,"threshold_uncertainty_score":0.6108262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05380455087018726,"score_gpt":0.3906037702788531,"score_spread":0.3367992194086658,"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."}}