{"id":"W6894308082","doi":"10.5683/sp3/zeogw6","title":"Manitowaning (West) Ontario. 1:50,000. Map Sheet 041H12, ed. 1, 1955","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); Digital mapping; Aerial photography; Government (linguistics); Viewshed analysis","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":[0.0003936602,0.001858307,0.001183507,0.004511814,0.001751207,0.003076544,0.001724504,0.0005879562,0.1606899],"category_scores_gemma":[0.002311655,0.0009026646,0.000700643,0.01972154,0.0005287462,0.00109061,0.001120081,0.0008531079,0.1116777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01151257,"about_ca_system_score_gemma":0.02086195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9437773,"about_ca_topic_score_gemma":0.9737718,"domain_scores_codex":[0.9993842,0.0000242223,0.00004580355,0.0001568816,0.0002307778,0.0001581891],"domain_scores_gemma":[0.9983039,0.00007879102,0.0001531355,0.0001892176,0.00107975,0.00019517],"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":[0.00002027349,0.000003221057,0.001011019,0.000344098,0.00001171634,0.00001350122,0.00005437577,0.0000591293,0.00004740487,0.0002760184,0.9944713,0.00368788],"study_design_scores_gemma":[0.00003045768,0.000002598681,0.01169841,0.0001696397,0.00001146028,0.00001855815,0.0001556008,0.00005040315,0.0000810259,0.0001375802,0.9876311,0.00001317244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009455696,0.00008911049,0.00002239224,0.00003313287,0.00001521774,0.000006510128,0.9968509,0.00009727228,0.002790964],"genre_scores_gemma":[0.001040333,0.0002501366,0.0002241203,0.00003683598,0.000007922593,0.00004431768,0.9886838,0.0001172509,0.009595187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1606899,"threshold_uncertainty_score":0.5375613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208813268963517,"score_gpt":0.2600567158156596,"score_spread":0.2379685831260244,"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."}}