{"id":"W6931927325","doi":"10.5683/sp3/znj7fy","title":"Basswood Lake Ontario. 1:50,000. Map Sheet 052B04, ed. 1, 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; Aerial photography; Natural (archaeology); Topographic map (neuroanatomy); Raster graphics; Viewshed analysis; Government (linguistics)","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":[0.0004260726,0.002019209,0.001349182,0.005422588,0.001708998,0.003076598,0.001815239,0.0005934867,0.1631045],"category_scores_gemma":[0.002602772,0.001068076,0.0006361873,0.02298496,0.0005976167,0.001357624,0.001241973,0.0009619733,0.1261938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00912531,"about_ca_system_score_gemma":0.01612637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8839885,"about_ca_topic_score_gemma":0.9416775,"domain_scores_codex":[0.9992775,0.00003120352,0.00005191782,0.0001790098,0.0002969898,0.0001633931],"domain_scores_gemma":[0.9982948,0.0001037559,0.0001651734,0.0002165187,0.001023926,0.0001958768],"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":[0.00001543336,0.000002967028,0.0006124069,0.00024341,0.000007562328,0.00001007767,0.00003853352,0.00005043617,0.00003692316,0.0001765554,0.9961568,0.002648925],"study_design_scores_gemma":[0.00002770391,0.000002514504,0.008371516,0.0001177106,0.000008230396,0.00001718619,0.0001128439,0.00004871414,0.00006757313,0.0001547338,0.9910581,0.00001320736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007281745,0.00006194234,0.00002458974,0.00002617162,0.00001316103,0.000005301082,0.9975176,0.0001024464,0.002175986],"genre_scores_gemma":[0.0006669298,0.000173351,0.0002180545,0.00002346601,0.00000720727,0.00004353618,0.9920378,0.0001236633,0.006705977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1631045,"threshold_uncertainty_score":0.545639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644511309859804,"score_gpt":0.2504849111562751,"score_spread":0.2340397980576771,"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."}}