{"id":"W6969335542","doi":"10.5683/sp3/a55s7f","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Subdivision (CSD) - 1986 - File Geodatabase 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; Data file; Census; Boundary (topology); Spatial analysis","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":[0.001532315,0.001717582,0.001333867,0.004485332,0.0009410254,0.002406344,0.003128999,0.001034622,0.1067028],"category_scores_gemma":[0.006120197,0.001157396,0.0009635647,0.01286771,0.0003759922,0.001840628,0.002447583,0.001854862,0.1624027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002827063,"about_ca_system_score_gemma":0.004780589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1181321,"about_ca_topic_score_gemma":0.1684683,"domain_scores_codex":[0.9983929,0.0002101798,0.0002020838,0.000396971,0.0004844818,0.0003133606],"domain_scores_gemma":[0.9963713,0.0003500301,0.0003290256,0.001013414,0.001652635,0.0002836611],"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":[0.00002616336,0.000007574702,0.000740157,0.0001755976,0.00001076519,0.00000809735,0.00002528199,0.00007516899,0.00007016898,0.0005251614,0.9970201,0.001315749],"study_design_scores_gemma":[0.00006234023,0.000004995031,0.005341343,0.0001229623,0.00000863046,0.00002086424,0.0000999297,0.0001079927,0.0002444159,0.0004810676,0.9934875,0.00001793983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007672006,0.00001145274,0.00005792957,0.00002124363,0.00001250591,0.000007697867,0.9987356,0.0001901792,0.0008866285],"genre_scores_gemma":[0.000233199,0.00001711417,0.0002263303,0.0000143287,0.000002555061,0.00004676536,0.9986197,0.00008967536,0.0007504002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8818679,"threshold_uncertainty_score":0.3569564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927276203348635,"score_gpt":0.2811405472517407,"score_spread":0.2518677852182544,"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."}}