{"id":"W6894354275","doi":"10.5683/sp3/tgqjuk","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Subdivision (CSD) - 1991 - 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; North American Datum of 1927; File format; Documentation; Census; 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":[0.001500803,0.001746222,0.001331872,0.004427779,0.0009402708,0.002496701,0.003184139,0.001017128,0.1020375],"category_scores_gemma":[0.006002369,0.001173211,0.0009428432,0.01239989,0.0003672435,0.001805775,0.00238345,0.002025163,0.1498708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00286442,"about_ca_system_score_gemma":0.00468374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1197388,"about_ca_topic_score_gemma":0.166762,"domain_scores_codex":[0.9984255,0.0002061697,0.0001940188,0.0003818598,0.0004944655,0.0002981401],"domain_scores_gemma":[0.9966102,0.0003676048,0.0003214695,0.0009508463,0.001479562,0.0002702183],"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":[0.00002361223,0.000007718776,0.0007347296,0.0001985416,0.00001114643,0.000008796108,0.00002979817,0.000073442,0.00007377283,0.0005474811,0.9969432,0.001347748],"study_design_scores_gemma":[0.00006002745,0.000004625197,0.005542745,0.0001238521,0.000008734604,0.00002170071,0.0001001328,0.00009675942,0.0002142903,0.0004408893,0.9933687,0.00001764975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007928746,0.00001324391,0.000051229,0.00002240453,0.0000121432,0.000007372456,0.9987314,0.0001565483,0.0009264553],"genre_scores_gemma":[0.0002394466,0.00002020499,0.0002202434,0.00001423426,0.000002714409,0.00005227533,0.9986048,0.00008322443,0.0007627477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8802612,"threshold_uncertainty_score":0.3413494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03081787895376458,"score_gpt":0.2834910777400079,"score_spread":0.2526731987862433,"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."}}