{"id":"W6894295678","doi":"10.5683/sp3/wxeg2q","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Division (CD) - 1871 - File Geodatabase format (WGS84 / EPSG:4326)","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; North American Datum of 1927; File format; Documentation; Census; Data file; Geocoding; Boundary (topology)","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":[0.001387211,0.001755381,0.00134223,0.004856274,0.0009043166,0.002458636,0.002894237,0.001003763,0.1127038],"category_scores_gemma":[0.005694321,0.001189737,0.0008134798,0.01391844,0.0004023665,0.001791305,0.002449158,0.001882817,0.159785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002886043,"about_ca_system_score_gemma":0.004818363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1240803,"about_ca_topic_score_gemma":0.1583273,"domain_scores_codex":[0.9985085,0.0001960178,0.000177814,0.0003559818,0.0004657418,0.0002958386],"domain_scores_gemma":[0.9965724,0.0003412105,0.0003207258,0.0009050636,0.001584041,0.0002764997],"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":[0.00002226405,0.000006389746,0.000683339,0.0001806873,0.00001020214,0.000008297399,0.00002602725,0.00007238961,0.00005992147,0.0005625056,0.9970304,0.001337626],"study_design_scores_gemma":[0.00005384196,0.000004061501,0.004846541,0.0001201733,0.000007117628,0.00001964819,0.0001017132,0.00007608859,0.0001932354,0.0004062116,0.9941558,0.0000155287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007406997,0.00001219088,0.00005028093,0.00002046908,0.00001295016,0.000006832609,0.9987141,0.0001583878,0.0009507631],"genre_scores_gemma":[0.0002603643,0.00001981712,0.000199162,0.00001483208,0.000002794228,0.00004796326,0.9985799,0.00009212577,0.0007830964],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8759197,"threshold_uncertainty_score":0.3770319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963704028650339,"score_gpt":0.2834597224576069,"score_spread":0.2538226821711035,"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."}}