{"id":"W6950663806","doi":"10.5683/sp3/c1cnnx","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Province/Territory (PR) - 1881 - Esri Shapefile format (NAD83 CSRS / EPSG:3348)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; File format; North American Datum of 1927; Documentation; Boundary (topology); Data file; Geodetic datum","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086521,0.001651749,0.001266156,0.004462886,0.0008576689,0.002251206,0.002682327,0.0008227681,0.1103747],"category_scores_gemma":[0.004292394,0.00115079,0.0007810005,0.01073065,0.0003757492,0.001765586,0.002243999,0.001786774,0.1427722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002493032,"about_ca_system_score_gemma":0.003900663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1354456,"about_ca_topic_score_gemma":0.1938879,"domain_scores_codex":[0.9988305,0.000144007,0.0001291195,0.0003115208,0.0003421413,0.0002428201],"domain_scores_gemma":[0.9975066,0.0002344691,0.0002524306,0.0007242442,0.001066109,0.0002161459],"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":[0.00002758551,0.000007816258,0.001004877,0.0002450638,0.00001235812,0.00001211793,0.00004075517,0.00008770151,0.00008516623,0.0006925171,0.9959527,0.001831283],"study_design_scores_gemma":[0.00004810988,0.000003892412,0.005392719,0.0001234137,0.000006884146,0.00002355313,0.0001104402,0.00007114323,0.0001798511,0.0003379026,0.9936879,0.00001415067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000106723,0.00001778778,0.00005993321,0.00002081448,0.00001571327,0.000007764944,0.9983532,0.0001882657,0.001229815],"genre_scores_gemma":[0.0003889256,0.00002626802,0.0002605141,0.00001366446,0.000003430548,0.00005220637,0.9981486,0.0001189499,0.0009875047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8645544,"threshold_uncertainty_score":0.3692403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113848680848832,"score_gpt":0.2617002166668769,"score_spread":0.2405617298583886,"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."}}