{"id":"W6913309196","doi":"10.5683/sp3/dabjub","title":"Nagagamisis Lake Ontario. 1:50,000. Map Sheet 042F07, ed. 2, 1979","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Central European national history","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Aerial photography; Topographic map (neuroanatomy); Viewshed analysis; Digital mapping","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":[0.000370955,0.001818603,0.001246991,0.004600113,0.001493858,0.002843017,0.001586309,0.0005592934,0.1309566],"category_scores_gemma":[0.002312671,0.0009539783,0.0005563996,0.02201106,0.0004697042,0.001064299,0.001007157,0.0008296279,0.102377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009433206,"about_ca_system_score_gemma":0.01699553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9161404,"about_ca_topic_score_gemma":0.9545301,"domain_scores_codex":[0.9994191,0.00002290796,0.00004684941,0.0001313867,0.0002372145,0.0001425875],"domain_scores_gemma":[0.9983304,0.00009572077,0.0001568235,0.0001694428,0.001049606,0.0001979847],"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":[0.00001746311,0.000003834454,0.001114421,0.0002821397,0.000009388176,0.00001451107,0.00005032373,0.0000622497,0.00003816208,0.0002130108,0.9951214,0.003073111],"study_design_scores_gemma":[0.00004233394,0.000003110853,0.01728425,0.0001425681,0.00001143253,0.00002033439,0.0001754214,0.00007930622,0.00008419124,0.000158912,0.9819834,0.00001457357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009804566,0.00004627994,0.0000171313,0.00002419357,0.000008368709,0.000005270353,0.9978923,0.00006575516,0.001842665],"genre_scores_gemma":[0.0006938963,0.0001623408,0.0001608623,0.00001792377,0.000005124019,0.0000478577,0.9923699,0.00006800758,0.006474079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1309566,"threshold_uncertainty_score":0.4380937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893236824214174,"score_gpt":0.266527893680863,"score_spread":0.2475955254387213,"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."}}