{"id":"W6894245675","doi":"10.5683/sp3/xv5aqc","title":"Ottawa Ontario. 1:50,000. Map Sheet 031G05, ed. 8, 1976","year":2021,"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); Aerial photography; Viewshed analysis; 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":[0.0005268531,0.002180322,0.001689798,0.005990481,0.001871956,0.004173414,0.002167483,0.0008228167,0.2276728],"category_scores_gemma":[0.003498917,0.001080267,0.0007908956,0.02861052,0.0005431087,0.001564566,0.001225901,0.001212357,0.1949787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209849,"about_ca_system_score_gemma":0.01942835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9137651,"about_ca_topic_score_gemma":0.9482712,"domain_scores_codex":[0.9990636,0.00004504059,0.00008443291,0.000230914,0.0003560428,0.0002199746],"domain_scores_gemma":[0.9969825,0.0002087577,0.0002356489,0.0003726284,0.001869195,0.0003312169],"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":[0.00001253563,0.000002498164,0.0004060939,0.0002204469,0.000007062405,0.000008450706,0.00002026622,0.00004875518,0.00002258909,0.0001803121,0.9969439,0.002127051],"study_design_scores_gemma":[0.00002545542,0.000002284081,0.006628957,0.0001624961,0.00001036664,0.00001588571,0.0000962128,0.00005703542,0.00006703311,0.0001683585,0.992749,0.00001690485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003278743,0.00004641795,0.00001605962,0.00002213986,0.00001035801,0.000003438636,0.9980955,0.00007762825,0.001695689],"genre_scores_gemma":[0.0003977298,0.0001654167,0.000159798,0.00002697023,0.000005571389,0.00003585776,0.9923902,0.0001114739,0.006706911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2276728,"threshold_uncertainty_score":0.7616414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609284324897772,"score_gpt":0.2565746212987338,"score_spread":0.2404817780497561,"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."}}