{"id":"W6969110553","doi":"10.5683/sp3/usyrdq","title":"Garson Lake Saskatchewan. 1:50,000. Map Sheet 074C05, ed. 1, 1977","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthophoto; Viewshed analysis; Georeference; General partnership; Natural (archaeology); Raster graphics; Topographic map (neuroanatomy); Aerial photography; 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":[0.0004913457,0.002262495,0.001311793,0.005134781,0.001020079,0.003342546,0.002007962,0.000807654,0.2178335],"category_scores_gemma":[0.00261523,0.001159635,0.0007278982,0.02672412,0.0004268661,0.001599626,0.001339015,0.001329052,0.2341089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005905484,"about_ca_system_score_gemma":0.01429914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7290226,"about_ca_topic_score_gemma":0.8249003,"domain_scores_codex":[0.9993777,0.00004811703,0.00006167823,0.0001606426,0.0001914817,0.0001604795],"domain_scores_gemma":[0.998068,0.0001382269,0.0001199335,0.0003015218,0.001200847,0.0001714997],"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":[0.00001504011,0.00000352456,0.0004903326,0.00017928,0.00001123987,0.00001147164,0.00001889558,0.00008047392,0.00004058382,0.0001926612,0.9959196,0.003036873],"study_design_scores_gemma":[0.00004449272,0.000002689408,0.006916298,0.0002064573,0.0000104535,0.00001574424,0.0001641774,0.00008562255,0.0001155061,0.00034369,0.9920728,0.00002213953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004949647,0.00002739405,0.0000209,0.00001782811,0.00001143996,0.000003918607,0.9983338,0.00009389045,0.001441307],"genre_scores_gemma":[0.0003692319,0.0001090955,0.0001518261,0.00002947163,0.000003016096,0.00003893231,0.9941356,0.0001058643,0.005056973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2709774,"threshold_uncertainty_score":0.7287257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436692717918209,"score_gpt":0.2565447406930638,"score_spread":0.2421778135138817,"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."}}