{"id":"W6894369928","doi":"10.5683/sp3/ll1dt2","title":"Bluewater Creek (East) British Columbia. 1:50,000. Map Sheet 082N11, 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); 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":[0.0003263107,0.001729879,0.001196563,0.004767173,0.001903509,0.003840068,0.001667886,0.0006446565,0.1322815],"category_scores_gemma":[0.002092816,0.0008192983,0.0004865992,0.02095468,0.0004268784,0.001104982,0.0009940037,0.001251909,0.1017743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007592173,"about_ca_system_score_gemma":0.01456536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9253318,"about_ca_topic_score_gemma":0.9615993,"domain_scores_codex":[0.9994527,0.0000219698,0.00003896133,0.0001461433,0.0001991067,0.0001411883],"domain_scores_gemma":[0.9982871,0.00007577421,0.0001062872,0.0001729072,0.001195465,0.000162523],"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":[0.00001553181,0.000003361217,0.0005730033,0.0001547696,0.000006523668,0.00001099137,0.00002024411,0.00005470714,0.00002558281,0.0001646432,0.9956419,0.003328637],"study_design_scores_gemma":[0.0000267673,0.000002060194,0.01061492,0.0001824533,0.000008640215,0.00001749434,0.0001368549,0.00008734017,0.00009802152,0.0001949125,0.988613,0.00001758521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001172977,0.00008808171,0.00002676485,0.00002863775,0.00002011916,0.000005933877,0.996363,0.0001283581,0.00322193],"genre_scores_gemma":[0.001042904,0.000199856,0.0001922927,0.00002853136,0.00000650827,0.00003593983,0.9879155,0.0001191649,0.01045929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1322815,"threshold_uncertainty_score":0.4425256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264624444231635,"score_gpt":0.2333178758049661,"score_spread":0.2206716313626497,"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."}}