{"id":"W6894391796","doi":"10.5683/sp3/28dujk","title":"UNI-CEN Boundaries (CBF-Original Shorelines) - Census Subdivision (CSD) - 1891 - Esri Shapefile format (NAD83 CSRS / EPSG:3348)","year":2023,"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":[0.001314482,0.001782557,0.001373962,0.004740842,0.0009806121,0.002476461,0.003030993,0.0009813191,0.1227982],"category_scores_gemma":[0.005361905,0.001133607,0.0008662083,0.01239496,0.0004152568,0.001816275,0.00235228,0.00191862,0.185328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002739843,"about_ca_system_score_gemma":0.00434164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1105528,"about_ca_topic_score_gemma":0.161488,"domain_scores_codex":[0.9985321,0.0001779749,0.0001731979,0.000371679,0.000450079,0.0002950187],"domain_scores_gemma":[0.9969069,0.0003366955,0.0002890163,0.0008402246,0.001350701,0.0002763223],"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":[0.00002118459,0.000007151042,0.0006675154,0.0001779504,0.000009505655,0.000008318914,0.00002709129,0.00005507933,0.00007022825,0.0005174754,0.9971344,0.001304006],"study_design_scores_gemma":[0.00005011279,0.000003905347,0.00417603,0.0001088738,0.000006882532,0.00002027576,0.00009764914,0.00006409138,0.0001843447,0.0004027248,0.9948704,0.00001468443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000703949,0.00001385193,0.00004848891,0.00002168846,0.00001341774,0.000006888093,0.9985992,0.0001675405,0.001058547],"genre_scores_gemma":[0.0002461483,0.00002285479,0.0002157346,0.00001648215,0.000003199355,0.00004595874,0.9984599,0.00009845271,0.0008911663],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1227982,"threshold_uncertainty_score":0.4108011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349717064361168,"score_gpt":0.3040649716964077,"score_spread":0.270567801052796,"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."}}