{"id":"W6913411803","doi":"10.5683/sp3/2ihheg","title":"Belleville Ontario. 1:50,000. Map Sheet 031C03, ed. 9, 2010","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; Vector map; Geographic information system; Natural (archaeology); Government (linguistics); Aerial photography","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":[0.0004826599,0.002056705,0.00142996,0.004588542,0.001479856,0.003730588,0.001930678,0.0007053132,0.22266],"category_scores_gemma":[0.002965322,0.00107032,0.0007395765,0.01994182,0.0005026382,0.001564441,0.001188015,0.00109757,0.2021479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008999648,"about_ca_system_score_gemma":0.01374269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8777047,"about_ca_topic_score_gemma":0.9330737,"domain_scores_codex":[0.9992152,0.00003743085,0.00006100488,0.0001989201,0.0003193612,0.000168095],"domain_scores_gemma":[0.9980512,0.0001382632,0.0001652159,0.0002738798,0.001139231,0.0002322061],"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":[0.00001165736,0.000002299906,0.00037788,0.0001968978,0.000005983004,0.000007677657,0.00002222507,0.00004035477,0.00002618508,0.000181643,0.9967808,0.002346442],"study_design_scores_gemma":[0.00002335848,0.000001980706,0.005498766,0.000121566,0.000006870373,0.00001589706,0.00007552256,0.00005697323,0.00006117368,0.0001867044,0.9939381,0.00001317347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004501194,0.00006463866,0.00002738516,0.00003187289,0.0000131768,0.00000441774,0.9967013,0.0001394907,0.002972841],"genre_scores_gemma":[0.0004407556,0.000182256,0.0002044795,0.00003125053,0.000007304779,0.00003390877,0.9901203,0.000167796,0.008811994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.22266,"threshold_uncertainty_score":0.7448719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806257185659171,"score_gpt":0.2526055829989798,"score_spread":0.2345430111423881,"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."}}