{"id":"W6960420396","doi":"10.1371/journal.pcbi.1011285.t002","title":"Technologies used for Covid Schools Canada.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Government (linguistics); Emerging technologies","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":[0.001229264,0.002779379,0.002563677,0.005749559,0.003450728,0.005416656,0.004922074,0.002478935,0.2040312],"category_scores_gemma":[0.007315333,0.001233372,0.00152681,0.01408234,0.0007560598,0.002302296,0.002729192,0.002741832,0.2386749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007923385,"about_ca_system_score_gemma":0.01671175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5573555,"about_ca_topic_score_gemma":0.7232503,"domain_scores_codex":[0.9984288,0.0001491507,0.0001296554,0.0005025739,0.0004574259,0.0003324508],"domain_scores_gemma":[0.9958854,0.000702368,0.0002815306,0.0007743438,0.001847652,0.0005087348],"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":[0.00003877712,0.000005660877,0.0003195673,0.0005119142,0.00001514788,0.000008947191,0.00001866351,0.00008789384,0.00006750394,0.0004953501,0.9971055,0.001324881],"study_design_scores_gemma":[0.00008418364,0.000004560013,0.001340662,0.0003357508,0.00002133632,0.00001529405,0.00005584496,0.00008882251,0.0001614458,0.00093388,0.9969343,0.0000239394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002588161,0.00006952379,0.00004115963,0.00004502212,0.0000157966,0.000007127231,0.9983169,0.0002910921,0.001187549],"genre_scores_gemma":[0.0001834978,0.0001062041,0.0002417835,0.00006798815,0.000003928236,0.00005082064,0.9975303,0.0001960519,0.001619513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4426445,"threshold_uncertainty_score":0.8905027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05774204629819247,"score_gpt":0.2561401115969645,"score_spread":0.198398065298772,"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."}}