{"id":"W6931733712","doi":"10.5683/sp3/3egs0f","title":"Mount Argyll British Columbia. 1:50,000. Map Sheet 092K09, ed. 1, 1978","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mount; Georeference; General partnership; Raster graphics; Natural (archaeology); Government (linguistics); 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":[0.0003814108,0.00218281,0.001530524,0.006546307,0.001657533,0.003905648,0.001957251,0.0006817657,0.1568122],"category_scores_gemma":[0.002825054,0.001039874,0.000540025,0.02847955,0.0004064384,0.001158717,0.00108279,0.00145334,0.1451315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008213045,"about_ca_system_score_gemma":0.0150246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9162967,"about_ca_topic_score_gemma":0.946413,"domain_scores_codex":[0.9993945,0.000026713,0.00004638671,0.0001418355,0.0002302173,0.0001604129],"domain_scores_gemma":[0.9978427,0.0001124821,0.0001304896,0.0002164132,0.001485333,0.0002126107],"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":[0.0000109338,0.000002653794,0.0003457799,0.0001320161,0.000004872006,0.000008454936,0.00001402659,0.0000474371,0.00002062625,0.0001232244,0.9968876,0.002402241],"study_design_scores_gemma":[0.0000263815,0.000002319329,0.009500096,0.0002070958,0.000008958305,0.00001785286,0.0001258464,0.00009824443,0.0001056392,0.0001888703,0.9896997,0.00001905849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007392757,0.00006143897,0.00001851543,0.00002533727,0.00001511892,0.000004044857,0.9975757,0.0001022808,0.002123568],"genre_scores_gemma":[0.0005567888,0.0001703645,0.000142512,0.0000205144,0.000005494095,0.00003921896,0.9911141,0.0001010689,0.007849989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1568122,"threshold_uncertainty_score":0.5245892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145062100799556,"score_gpt":0.2404090129548018,"score_spread":0.2289583919468062,"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."}}