{"id":"W6969268505","doi":"10.5683/sp3/rnmwb0","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Division (CD) - 2006 - 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; Geocoding; Data file; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001872713,0.002284595,0.002315492,0.001452958,0.002836152,0.00179807,0.00375892,0.001002517,0.1214433],"category_scores_gemma":[0.002167043,0.002251945,0.0008559077,0.001701015,0.001196718,0.001200058,0.004204975,0.00280286,0.002190586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400882,"about_ca_system_score_gemma":0.00160571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2880831,"about_ca_topic_score_gemma":0.06771979,"domain_scores_codex":[0.9883024,0.001024221,0.002322146,0.002316679,0.003483792,0.002550831],"domain_scores_gemma":[0.9898403,0.0007675,0.001772993,0.006041882,0.0006061216,0.0009711555],"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":[0.000923555,0.0006869257,0.00001070621,0.0004300418,0.0003705529,0.001060541,0.0001149391,0.00004323631,0.00001612256,0.00007538225,0.9955474,0.0007205682],"study_design_scores_gemma":[0.002898856,0.0002353651,0.0002393867,0.0002492149,0.0008181637,0.0001581999,0.0002361902,0.0001666474,0.0000296757,0.0001465676,0.9923577,0.002464023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003208092,0.001976648,0.00001395512,0.0002946153,0.001479436,0.001999593,0.9924232,0.001044916,0.0007355219],"genre_scores_gemma":[0.000005303004,0.001043386,0.0005014551,0.0007366287,0.0008428422,0.001037722,0.994496,0.000760306,0.0005762879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2203633,"threshold_uncertainty_score":0.9994977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678565418481517,"score_gpt":0.2795994498411346,"score_spread":0.2528137956563195,"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."}}