{"id":"W3124009707","doi":"10.1007/s12079-021-00606-6","title":"Welcome to 2021","year":2021,"lang":"en","type":"article","venue":"Journal of Cell Communication and Signaling","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; Computer science; Data science; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006412886,0.00007079214,0.0002369543,0.0001154787,0.0000833352,0.00004966762,0.0001414108,0.00004446389,0.0002721162],"category_scores_gemma":[0.0004097201,0.00006152244,0.00008640263,0.0001582094,0.00002245672,0.00009605873,0.00009203079,0.00027914,0.00001410758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004455415,"about_ca_system_score_gemma":0.0001671484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003807648,"about_ca_topic_score_gemma":0.000001926616,"domain_scores_codex":[0.9991161,0.0001649159,0.0003394351,0.00006899463,0.0002182484,0.0000922554],"domain_scores_gemma":[0.9983632,0.0005177597,0.0001811966,0.0003528622,0.0003555054,0.0002295064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003403722,0.0003495369,0.009353687,0.0003413364,0.0001264277,0.0003288134,0.002368358,0.0003207801,0.9733178,0.0007138719,0.004314562,0.008124447],"study_design_scores_gemma":[0.008726133,0.001218096,0.02115821,0.002938797,0.0005415671,0.002104194,0.002699903,0.0008958488,0.7160723,0.002714491,0.2403883,0.0005421587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653038,0.006682422,0.002562785,0.01956737,0.0001344114,0.0001200101,6.192842e-7,0.000007890217,0.005620716],"genre_scores_gemma":[0.9752984,0.0008178307,0.02053412,0.002622274,0.0001537868,0.000001019149,0.000003344867,0.00001019237,0.0005590133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2572455,"threshold_uncertainty_score":0.2979482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971456959329519,"score_gpt":0.3072250906137304,"score_spread":0.2875105210204352,"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."}}