{"id":"W6950599664","doi":"10.5683/sp3/coeers","title":"Glen Afton (East) Ontario. 1:50,000. Map Sheet 041I09, ed. 2, 1964","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Viewshed analysis; Topographic map (neuroanatomy); Aerial photography; 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":[0.0004241416,0.001708012,0.001187747,0.004210451,0.001698961,0.003340621,0.001375098,0.000564619,0.1809191],"category_scores_gemma":[0.00245095,0.000922185,0.0006342736,0.01756522,0.0005480828,0.001292999,0.00112165,0.0008982452,0.1371255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016899,"about_ca_system_score_gemma":0.01734336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9305919,"about_ca_topic_score_gemma":0.9655275,"domain_scores_codex":[0.9992884,0.00002587988,0.00004800997,0.0001728385,0.0003096311,0.0001553085],"domain_scores_gemma":[0.9982931,0.00009296597,0.0001544836,0.0002105934,0.001050222,0.000198632],"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":[0.0000215995,0.0000031268,0.0008785935,0.0002706237,0.000008812008,0.00001333284,0.00005662397,0.00006017069,0.00005025512,0.0002673262,0.9935393,0.004830268],"study_design_scores_gemma":[0.00002003237,0.000002101558,0.009010066,0.0001136481,0.00000683802,0.0000169074,0.0001142933,0.00003965301,0.00006873415,0.0001341958,0.9904621,0.00001137595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000111792,0.0001127374,0.00003909089,0.00004301249,0.00002021065,0.000007612717,0.9943862,0.0001487173,0.005130566],"genre_scores_gemma":[0.001286284,0.0003484403,0.0003481198,0.00003919883,0.00001096772,0.00005053608,0.977675,0.0002109789,0.02003041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1809191,"threshold_uncertainty_score":0.6052349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743295892997548,"score_gpt":0.2514609210295601,"score_spread":0.2340279620995846,"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."}}