{"id":"W6960592805","doi":"10.1371/journal.pone.0208911.s001","title":"Initial dates of &lt;i&gt;Aedes japonicus&lt;/i&gt; invasion in Ontario’s 36 public health units.","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public health; Government (linguistics); Population; Public health surveillance","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":[0.0002197318,0.0002512033,0.0001381314,0.001248149,0.001836342,0.0005439154,0.0004709727,0.0003207264,0.02054767],"category_scores_gemma":[0.0008340541,0.0002461948,0.0001937286,0.0007830074,0.0007938698,0.0004169333,0.0006427694,0.0007354681,0.002808306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00702769,"about_ca_system_score_gemma":0.004820359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8833026,"about_ca_topic_score_gemma":0.9784679,"domain_scores_codex":[0.9997512,0.00001563526,0.000009505847,0.00003688022,0.00008090479,0.0001058622],"domain_scores_gemma":[0.9988903,0.00008833184,0.0001552577,0.0000557959,0.000423159,0.0003871094],"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":[0.001137235,0.00009333689,0.3763471,0.0004358858,0.00009092606,0.001141733,0.00678617,0.001556957,0.008924281,0.007695431,0.5175548,0.07823626],"study_design_scores_gemma":[0.00001731741,0.00003410493,0.8581449,0.00008007779,0.00001631645,0.0001359347,0.002429958,0.0004108067,0.001173432,0.0003730104,0.1371577,0.00002641003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4820926,0.001473393,0.004394566,0.002395438,0.0005621422,0.0004774619,0.2101197,0.0007777889,0.2977068],"genre_scores_gemma":[0.7672518,0.0005375552,0.00331205,0.0003802703,0.00005787715,0.0001193946,0.03918502,0.0001540963,0.1890019],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1166974,"threshold_uncertainty_score":0.2347693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07722409668779216,"score_gpt":0.273704801248599,"score_spread":0.1964807045608069,"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."}}