{"id":"W6969351563","doi":"10.5683/sp3/oywpah","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Tract (CT) - 2016 - 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); Geocoding","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":[0.00128559,0.001756982,0.001318645,0.004323477,0.0008637173,0.00238167,0.002997923,0.001001915,0.1070785],"category_scores_gemma":[0.005643193,0.001096075,0.0009427188,0.01197644,0.0003710008,0.001760119,0.002353846,0.001868146,0.1564321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002552694,"about_ca_system_score_gemma":0.004357216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1219214,"about_ca_topic_score_gemma":0.1739019,"domain_scores_codex":[0.9986188,0.0001787324,0.000172544,0.0003431313,0.0004233548,0.0002634847],"domain_scores_gemma":[0.9967189,0.0003088531,0.0003098329,0.0009177375,0.001475502,0.0002690353],"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":[0.00002235907,0.000007529475,0.0007528818,0.0002119793,0.00001101215,0.000009637272,0.00002830416,0.00008591417,0.00006922959,0.0005176502,0.9969909,0.001292633],"study_design_scores_gemma":[0.00006402274,0.000004405322,0.00498123,0.0001404401,0.000008444086,0.00002419817,0.0001069867,0.0001155582,0.0002220774,0.0004931805,0.9938211,0.00001852831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007294337,0.00001099918,0.00005249437,0.00001934153,0.00001224909,0.000006481135,0.9988728,0.0001689057,0.0007836907],"genre_scores_gemma":[0.0002619299,0.00001937708,0.0002343723,0.00001387326,0.000003007804,0.00005144044,0.9985362,0.0001035015,0.0007762402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1219214,"threshold_uncertainty_score":0.3582134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952319728260528,"score_gpt":0.280788791027992,"score_spread":0.2512655937453867,"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."}}