{"id":"W6950598724","doi":"10.5683/sp3/jvixhc","title":"Catto Creek British Columbia. 1:50,000. Map Sheet 092M08, ed. 1, 1975","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); Topographic map (neuroanatomy); Aerial photography; Government (linguistics); Geographic information system","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":[0.0003991438,0.00207252,0.001491301,0.0062108,0.001647096,0.003935194,0.001976581,0.0007528964,0.1428027],"category_scores_gemma":[0.002789686,0.001007251,0.000574693,0.02827305,0.0004043361,0.001248775,0.001065875,0.001414838,0.1238413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008009614,"about_ca_system_score_gemma":0.01588533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8956149,"about_ca_topic_score_gemma":0.9394189,"domain_scores_codex":[0.9993384,0.00003235385,0.00005393957,0.0001665133,0.0002448516,0.0001639239],"domain_scores_gemma":[0.9977708,0.0001278353,0.0001347303,0.0002444765,0.001502082,0.0002200174],"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":[0.00001087017,0.000002953906,0.0003815683,0.0001596669,0.000005754757,0.000008716391,0.00001444566,0.00005481259,0.00001856493,0.0001419879,0.9967528,0.002447786],"study_design_scores_gemma":[0.00002893046,0.000002579356,0.00851341,0.0002349377,0.00001054622,0.00001943836,0.0001248984,0.0001115635,0.00009340214,0.0002383327,0.9906018,0.00002020595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006385818,0.00005286244,0.00001770846,0.00002141859,0.00001197901,0.000003884545,0.9980146,0.00008961069,0.001724089],"genre_scores_gemma":[0.0004694491,0.0001383215,0.0001394481,0.00002014633,0.000004087218,0.00003665627,0.9936463,0.00007851352,0.005467168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1428027,"threshold_uncertainty_score":0.4777226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340206004938428,"score_gpt":0.2461978148717945,"score_spread":0.2327957548224102,"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."}}