{"id":"W6912941648","doi":"10.5683/sp3/2qyjjh","title":"Barrie Ontario. 1:50,000. Map Sheet 031D05, ed. 7, 2000","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; Digital mapping; Natural (archaeology); Aerial photography; Image (mathematics); 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":[0.0003963165,0.001614809,0.001099386,0.004686244,0.001402725,0.00276394,0.001660196,0.0005583729,0.1667602],"category_scores_gemma":[0.00238797,0.0009076444,0.0005517513,0.01873764,0.0004359993,0.001089123,0.0009285153,0.000825208,0.1164099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009081673,"about_ca_system_score_gemma":0.01327023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9209064,"about_ca_topic_score_gemma":0.9542443,"domain_scores_codex":[0.9994178,0.00002629204,0.00004125272,0.0001328755,0.0002394455,0.0001424082],"domain_scores_gemma":[0.9982868,0.0001079949,0.0001680285,0.0001983801,0.00103919,0.0001996425],"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":[0.00001489097,0.000003274884,0.0007444334,0.0002222507,0.00000671664,0.00001140798,0.00003625977,0.00005944439,0.00003146793,0.0001936122,0.995589,0.003087226],"study_design_scores_gemma":[0.00002856677,0.000002907476,0.01364556,0.0001484437,0.000008821134,0.0000204519,0.0001400907,0.00008183139,0.00008087671,0.000149666,0.9856783,0.00001468167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008711053,0.00005640732,0.00002425491,0.0000289478,0.000009347142,0.000006177712,0.9967948,0.00008513832,0.002907862],"genre_scores_gemma":[0.0007702045,0.000162853,0.0001894766,0.00002264068,0.000005751886,0.00004517178,0.9892496,0.00008158121,0.009472647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1667602,"threshold_uncertainty_score":0.5578684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506657804789494,"score_gpt":0.2517084989586125,"score_spread":0.2366419209107176,"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."}}