{"id":"W6960617102","doi":"10.1371/journal.pone.0140028.t001","title":"Canadian SARS cases by province and territory (PHAC 2003).","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suspect; Autopsy; Transmission (telecommunications); Pneumonia; Respiratory distress; Coronavirus","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":[0.0003810443,0.0009329688,0.0002744916,0.003898221,0.001707556,0.0009017062,0.001312396,0.0005382395,0.04124121],"category_scores_gemma":[0.001192721,0.0003605311,0.0007194288,0.008202568,0.0004549764,0.0004123851,0.0006606369,0.0007116603,0.005309606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01789216,"about_ca_system_score_gemma":0.03435262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912889,"about_ca_topic_score_gemma":0.9956095,"domain_scores_codex":[0.9992768,0.00003423254,0.0000351237,0.00006748649,0.0003123754,0.0002739388],"domain_scores_gemma":[0.9991261,0.00001988458,0.0001090328,0.0000239258,0.0005542894,0.0001668216],"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":[0.0001209063,0.00001774458,0.03209563,0.0003279192,0.00003354457,0.0002620248,0.0003117609,0.0002380492,0.0001886685,0.001584855,0.936195,0.02862404],"study_design_scores_gemma":[0.0001172472,0.00003810199,0.5490164,0.0004882397,0.00004692564,0.00113542,0.001207252,0.0005554601,0.0001672972,0.0005663966,0.4466013,0.00005986733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04682676,0.01559576,0.0008822161,0.006776341,0.001760682,0.001473507,0.5860533,0.0005290628,0.3401024],"genre_scores_gemma":[0.3595241,0.0276456,0.006247215,0.004583443,0.0005090658,0.0009917488,0.4038136,0.0002476584,0.1964376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04124121,"threshold_uncertainty_score":0.1379656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008149861867593,"score_gpt":0.239638268382423,"score_spread":0.2195567697637471,"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."}}