{"id":"W6986945740","doi":"","title":"Rise in respiratory illnesses impacting Alberta hospitals","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Respiratory system; MEDLINE; Pneumonia; Respiratory tract infections","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004397857,0.0003764218,0.0002055122,0.002482435,0.001852016,0.002478677,0.0009698808,0.001892018,0.03304491],"category_scores_gemma":[0.001960214,0.000304631,0.0004714496,0.003677759,0.000667152,0.0005276318,0.00136775,0.001730192,0.002958292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0194968,"about_ca_system_score_gemma":0.0382741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9580084,"about_ca_topic_score_gemma":0.9860032,"domain_scores_codex":[0.998646,0.00006823734,0.0000360271,0.0000545409,0.0007059662,0.000489266],"domain_scores_gemma":[0.9968554,0.0001496711,0.0002847959,0.00003431321,0.001241343,0.001434418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002495091,0.0001548824,0.3159549,0.000703103,0.00008819732,0.001437431,0.0008573087,0.0008943105,0.0008994077,0.001567156,0.6027766,0.07441714],"study_design_scores_gemma":[0.00002099445,0.00003291878,0.9114723,0.0002047631,0.00001982684,0.000242378,0.002453326,0.0002847398,0.00008733816,0.0001194663,0.08504624,0.00001584063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3378554,0.03006145,0.000369731,0.1076678,0.005551927,0.0002964428,0.09255912,0.0008545173,0.4247836],"genre_scores_gemma":[0.5788423,0.03129971,0.001060923,0.02574073,0.002217151,0.0001147395,0.03224497,0.0001552632,0.3283243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04199159,"threshold_uncertainty_score":0.1414598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00856681801815249,"score_gpt":0.2150141578536651,"score_spread":0.2064473398355126,"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."}}