{"id":"W6969863619","doi":"10.5683/sp3/0yhfch","title":"Kinuseo Falls (East) British Columbia. 1:50,000. Map Sheet 093I14, ed. 1, 1967","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); Aerial photography; Geographic information system; 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":[0.000306423,0.001695774,0.001188157,0.004886347,0.001777467,0.003432513,0.001433513,0.0005466262,0.1282049],"category_scores_gemma":[0.001949887,0.000791383,0.0004592582,0.02234366,0.0003626456,0.0009684021,0.0009968802,0.001180526,0.09601904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007854354,"about_ca_system_score_gemma":0.01579721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9470602,"about_ca_topic_score_gemma":0.9719805,"domain_scores_codex":[0.999504,0.00001937519,0.00003817558,0.0001274757,0.0001789369,0.0001320875],"domain_scores_gemma":[0.9983718,0.00006859025,0.0001061936,0.0001447643,0.00114559,0.0001630846],"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":[0.00002037631,0.000003926579,0.0008194152,0.0002062055,0.000008101676,0.00001638706,0.0000340801,0.00006024201,0.0000340149,0.0001695585,0.9936608,0.00496677],"study_design_scores_gemma":[0.00002606783,0.0000026203,0.0162672,0.0002464394,0.00001132914,0.0000255294,0.0002502262,0.00009866251,0.0001240076,0.000177072,0.9827497,0.00002114351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001804004,0.0001121269,0.00002889372,0.00003276852,0.00001897987,0.000007163069,0.9956274,0.0001211383,0.003871181],"genre_scores_gemma":[0.001524292,0.0002996151,0.0002372299,0.00003155373,0.000006459847,0.00005600967,0.9824616,0.0001308504,0.01525232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1282049,"threshold_uncertainty_score":0.428888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271902356672345,"score_gpt":0.2372850754835275,"score_spread":0.224566051916804,"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."}}