{"id":"W6931767845","doi":"10.5683/sp3/v2zbdr","title":"Whitefish Falls (West) Ontario. 1:50,000. Map Sheet 041I04, ed. 2, 1965","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Aerial photography; Digital mapping; Government (linguistics); Orthophoto","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":[0.0003514239,0.001494806,0.00105792,0.003960848,0.001196581,0.002320031,0.001358731,0.0004760072,0.1190093],"category_scores_gemma":[0.002322473,0.0007508937,0.0006110187,0.01631887,0.0004173577,0.0008307275,0.000917978,0.0006941364,0.09030855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007196278,"about_ca_system_score_gemma":0.01409093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9133463,"about_ca_topic_score_gemma":0.9519151,"domain_scores_codex":[0.9995342,0.00001694414,0.00004470274,0.0001191369,0.0001749452,0.0001101204],"domain_scores_gemma":[0.9985695,0.00008458429,0.0001493316,0.0001391672,0.0008925004,0.0001648938],"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":[0.00002065552,0.000002907615,0.001309497,0.000300492,0.000009390802,0.00001585798,0.00004307152,0.00005810351,0.00003324915,0.0001991335,0.9948436,0.003163996],"study_design_scores_gemma":[0.00004297482,0.000003505441,0.02125937,0.0001956013,0.00001308253,0.00002848424,0.0001603783,0.00006615638,0.00007841377,0.0001549299,0.9779846,0.00001256511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001036011,0.00006547811,0.00001867365,0.00002779676,0.00001092887,0.000005032103,0.9978053,0.00006535533,0.001897882],"genre_scores_gemma":[0.0008314147,0.0002023474,0.0001606605,0.00002151291,0.00000636745,0.00003541363,0.9915418,0.00005780126,0.007142631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1190093,"threshold_uncertainty_score":0.3981259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640685145445473,"score_gpt":0.2474308753750384,"score_spread":0.2310240239205837,"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."}}