{"id":"W6950743316","doi":"10.5683/sp3/p8tspq","title":"Fernie (West) British Columbia. 1:50,000. Map Sheet 082G11, ed. 1, 1959","year":2022,"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); Government (linguistics); Geographic information system; Aerial photography; 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":[0.0003503462,0.001770601,0.001311703,0.005074194,0.001856743,0.003897045,0.001542519,0.0005928116,0.1617519],"category_scores_gemma":[0.002358934,0.0008679384,0.0004915618,0.02263321,0.0004166577,0.001144871,0.001045805,0.001347843,0.1249599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007986347,"about_ca_system_score_gemma":0.01498885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9340824,"about_ca_topic_score_gemma":0.9616741,"domain_scores_codex":[0.9994624,0.00002357709,0.00003785042,0.0001405792,0.0001913426,0.0001441638],"domain_scores_gemma":[0.99826,0.00008274491,0.0001028628,0.0001876976,0.001186961,0.0001798157],"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":[0.0000174687,0.000003362788,0.0005170773,0.000160444,0.000006564596,0.00001289266,0.000023355,0.00005263528,0.00002907026,0.0001742789,0.9950146,0.003988181],"study_design_scores_gemma":[0.00002331358,0.000001933801,0.01016219,0.000189517,0.000007449805,0.00001925684,0.0001376892,0.00007025095,0.00009466046,0.0001713685,0.9891058,0.00001648253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001229499,0.0001151245,0.00002858908,0.0000338992,0.00002203266,0.000006331841,0.9955845,0.0001435953,0.003942984],"genre_scores_gemma":[0.001206461,0.0002895983,0.0002351548,0.00003733634,0.000008232032,0.00004534324,0.9825361,0.0001684854,0.01547326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1617519,"threshold_uncertainty_score":0.5411142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399540714989854,"score_gpt":0.2483371431034814,"score_spread":0.2343417359535829,"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."}}