{"id":"W6894323335","doi":"10.5683/sp3/wlk5w9","title":"Shining Tree Ontario. 1:50,000. Map Sheet 041P11, ed. 1, 1968","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; Raster graphics; General partnership; Natural (archaeology); Aerial photography; Government (linguistics); Orthophoto; 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":[0.0003958328,0.001507179,0.001156914,0.004888235,0.001522408,0.002540321,0.001548009,0.0004929427,0.1105347],"category_scores_gemma":[0.002590308,0.000834246,0.0006363177,0.01851691,0.0004496762,0.001183231,0.001072764,0.0009060208,0.08121651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00786266,"about_ca_system_score_gemma":0.01481963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8796629,"about_ca_topic_score_gemma":0.9455106,"domain_scores_codex":[0.9993755,0.00002526662,0.00005000059,0.0001485196,0.0002532675,0.0001474553],"domain_scores_gemma":[0.9982859,0.0001017152,0.0001630895,0.0002084193,0.001050782,0.0001899925],"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":[0.00001883361,0.00000294082,0.0009739294,0.0003166572,0.000008636497,0.00001313449,0.00005326252,0.00006432582,0.00005234388,0.0002531012,0.9953152,0.002927594],"study_design_scores_gemma":[0.00002298925,0.000002576437,0.01172289,0.0001427407,0.000009292078,0.00002162165,0.0001201371,0.00006113047,0.00007941242,0.000163493,0.9876404,0.0000133092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008727878,0.00006552225,0.00002249664,0.00002582447,0.00001285452,0.000004630116,0.9978242,0.00007804698,0.001879165],"genre_scores_gemma":[0.0007670167,0.0001705552,0.0002138768,0.00001901566,0.000006521678,0.0000326329,0.9938709,0.00009638043,0.004823203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1203371,"threshold_uncertainty_score":0.3697754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254269623855455,"score_gpt":0.2626926476151126,"score_spread":0.240149951376558,"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."}}