{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001078534,0.0009368705,0.0007831641,0.0009045813,0.002208097,0.003924011,0.0009599915,0.005968541,0.6159175],"category_scores_gemma":[0.005155439,0.0004718668,0.0009407596,0.0003572856,0.0005695994,0.001476037,0.003170981,0.004877454,0.4691002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008029966,"about_ca_system_score_gemma":0.002524651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002073625,"about_ca_topic_score_gemma":0.009311095,"domain_scores_codex":[0.9991098,0.0001175836,0.00003313115,0.0001189376,0.0004020196,0.0002185209],"domain_scores_gemma":[0.9944379,0.0004739361,0.0001383334,0.0001662184,0.001178469,0.003605069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000559801,0.00003079468,0.00009137232,0.00003281551,0.000002105596,0.00008684809,0.00001328475,0.0000142812,0.000316333,0.0004357529,0.9815038,0.01741657],"study_design_scores_gemma":[0.00001695944,0.00003697484,0.0003733029,0.00002761587,0.000002332211,0.00005714087,0.00006465332,0.00002044238,0.00006888831,0.0002946935,0.9990296,0.000007373265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002343981,0.00865717,0.001373284,0.2188366,0.3214327,0.0006412122,0.002290657,0.001578045,0.4428464],"genre_scores_gemma":[0.001094857,0.0007427716,0.0002498807,0.01978639,0.009003936,0.00008193745,0.0004037436,0.0001311405,0.9685053],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6159175,"threshold_uncertainty_score":0.547847,"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."}}