{"id":"W6913029889","doi":"10.5683/sp3/pxfkpj","title":"Trochu Alberta. 1:50,000. Map Sheet 082P14, 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); Digital mapping; Aerial photography; Geographic information system; Orthophoto; Government (linguistics)","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":[0.0005523844,0.002421967,0.001579195,0.006685159,0.001474964,0.004199898,0.002303932,0.0007345221,0.1304797],"category_scores_gemma":[0.002353269,0.001013117,0.000712295,0.02483247,0.00048422,0.001154431,0.001143854,0.001473937,0.1249787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007179846,"about_ca_system_score_gemma":0.01401234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8660412,"about_ca_topic_score_gemma":0.9165753,"domain_scores_codex":[0.9992792,0.00003442489,0.00004229172,0.0001710472,0.0003094735,0.0001635168],"domain_scores_gemma":[0.9984111,0.0001160674,0.0001186285,0.0002072992,0.0009487729,0.0001980467],"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":[0.00001900924,0.000004071796,0.0004863607,0.0002048717,0.000009681592,0.00001393176,0.00002342395,0.00009394847,0.00003633807,0.0002786648,0.9956837,0.003146002],"study_design_scores_gemma":[0.00003544948,0.000003172651,0.007256837,0.0001888814,0.00001147493,0.00002534806,0.0001214469,0.0001134714,0.0001019228,0.0003720553,0.9917498,0.00002016438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006442888,0.00008144792,0.00002740328,0.00002422636,0.00001740533,0.000003637756,0.9975242,0.0001539633,0.002103276],"genre_scores_gemma":[0.0004308699,0.0001560286,0.0002374988,0.00002157085,0.000006326655,0.00002124145,0.9945158,0.0001227427,0.004487856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1339588,"threshold_uncertainty_score":0.4364981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313545450831226,"score_gpt":0.2568060637822244,"score_spread":0.2436706092739121,"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."}}