{"id":"W6958846231","doi":"10.6084/m9.figshare.7257461","title":"Additional file 15: of Swimmer’s itch in Canada: a look at the past and a survey of the present to plan for the future","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Leech Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Table (database); Feature (linguistics); Data collection","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007642031,0.0007897877,0.0007704807,0.00374858,0.002642867,0.002203814,0.001750883,0.0008148836,0.7773237],"category_scores_gemma":[0.01602766,0.0005178279,0.0009192362,0.008757273,0.0004451743,0.001919345,0.001535827,0.0007485802,0.1037835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007792089,"about_ca_system_score_gemma":0.01725064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8693188,"about_ca_topic_score_gemma":0.9158339,"domain_scores_codex":[0.9994209,0.00004631508,0.00007557748,0.00006709326,0.0002175014,0.0001727043],"domain_scores_gemma":[0.9866816,0.003496153,0.0005770009,0.0004702088,0.008117508,0.0006574154],"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":[0.00004806305,0.00001756338,0.002391884,0.000707566,0.000009647417,0.00004671568,0.000120735,0.0001415701,0.00001755273,0.000272169,0.9906458,0.005580886],"study_design_scores_gemma":[0.0005318362,0.00003685722,0.07852455,0.003513352,0.00007130358,0.0001709026,0.003035374,0.0006080117,0.0002406012,0.001961068,0.9111593,0.0001469158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002267529,0.00002537073,0.00006291419,0.0002104962,0.00002834494,0.00006292632,0.995387,0.000123079,0.003873219],"genre_scores_gemma":[0.01559341,0.0005214037,0.002263014,0.0007441147,0.00007888956,0.001063779,0.9272585,0.0005943552,0.0518826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7773237,"threshold_uncertainty_score":0.3176208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159790810447075,"score_gpt":0.2645647874893788,"score_spread":0.2229668793849081,"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."}}