{"id":"W6939913380","doi":"10.6084/m9.figshare.7257422.v1","title":"Additional file 12: of Swimmerâ 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); Snail","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003687475,0.00004007221,0.00006913177,0.00000653152,0.00007474125,0.000001199265,0.0001068972,0.00003113488,0.4124463],"category_scores_gemma":[0.0004615391,0.00001747169,0.00001674375,0.00007645296,0.00002417725,0.000005081606,0.0000717616,0.00005818586,0.00001805071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002782373,"about_ca_system_score_gemma":0.0003158945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02757926,"about_ca_topic_score_gemma":0.8370172,"domain_scores_codex":[0.9996766,0.00002523634,0.00008201179,0.00007595466,0.00006717467,0.0000729552],"domain_scores_gemma":[0.9984236,0.001235709,0.00004816406,0.0001807697,0.00009065665,0.00002107748],"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":[0.00003431205,0.000008561977,0.002684635,0.00001719247,0.00001245843,1.089444e-7,0.00004922631,4.676122e-7,0.00001042928,0.000002486899,0.9967585,0.0004216846],"study_design_scores_gemma":[0.00007877978,0.00001515456,0.5072296,0.0001052133,0.000002998631,0.000002101894,0.00005154464,0.0000212244,0.0001121051,0.000002928329,0.4923657,0.00001261375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003775316,0.00008932321,1.370982e-7,0.004154218,0.00001293985,0.000522509,0.9911629,0.000001229359,0.00028142],"genre_scores_gemma":[0.4610504,0.000001797224,0.00001829581,0.001767188,0.0004576631,0.002097648,0.5326894,0.000007903937,0.001909753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8094379,"threshold_uncertainty_score":0.9788962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007234299624549,"score_gpt":0.2589189663521145,"score_spread":0.218846623355869,"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."}}