{"id":"W6932061508","doi":"10.5683/sp3/ybbj7a","title":"Brampton (East) Ontario. 1:50,000. Map Sheet 030M12, ed. 3, 1960","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; Digital mapping; Government (linguistics); Viewshed analysis","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":[0.0004371646,0.001653977,0.001168368,0.004447858,0.001534892,0.003139527,0.001523804,0.000522364,0.1574571],"category_scores_gemma":[0.002503013,0.0009087408,0.0006572332,0.01731494,0.0004975031,0.001223869,0.001121731,0.000925945,0.1248886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008950949,"about_ca_system_score_gemma":0.01602577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9181186,"about_ca_topic_score_gemma":0.9622896,"domain_scores_codex":[0.9993358,0.00003011438,0.00004866064,0.0001660102,0.0002689292,0.0001505012],"domain_scores_gemma":[0.99835,0.00009632659,0.0001521331,0.0002183187,0.000986247,0.0001970448],"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":[0.00001673533,0.00000257628,0.0006994191,0.0002686509,0.000007920425,0.00001206477,0.00004909963,0.00005000542,0.0000420005,0.0002788206,0.9947737,0.003799004],"study_design_scores_gemma":[0.0000176394,0.00000202631,0.008175265,0.0001302363,0.000007460073,0.00001743421,0.0001108693,0.00004297907,0.00006241836,0.0001450227,0.991277,0.00001166593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001006876,0.0001089431,0.00003924037,0.00003981158,0.00001612624,0.00000695192,0.9954185,0.0001475437,0.004122103],"genre_scores_gemma":[0.001023526,0.0002717982,0.0003112626,0.00003306241,0.00000851117,0.00004625231,0.9854832,0.00017514,0.01264716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1574571,"threshold_uncertainty_score":0.5267463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825385446525636,"score_gpt":0.2547348820522141,"score_spread":0.2364810275869578,"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."}}