{"id":"W6913060557","doi":"10.5683/sp3/rxxnvg","title":"UNI-CEN Boundaries (CBF-Original Shorelines) - Census Tract (CT) - 2021 - File Geodatabase 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; File format; North American Datum of 1927; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228775,0.001794636,0.001314432,0.004536157,0.0009136256,0.002460941,0.002924797,0.001128651,0.1361475],"category_scores_gemma":[0.005751362,0.001090085,0.0008960625,0.01299639,0.0003833332,0.001747573,0.002398205,0.001801871,0.196622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942243,"about_ca_system_score_gemma":0.004685604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1263677,"about_ca_topic_score_gemma":0.1715305,"domain_scores_codex":[0.9986162,0.0001614901,0.0001646697,0.0003523879,0.0004183991,0.0002867722],"domain_scores_gemma":[0.9964258,0.0003477293,0.0003176616,0.0009364057,0.001659377,0.0003130565],"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":[0.00002022888,0.000006058226,0.0005761232,0.0001754652,0.000008754457,0.000007657132,0.000020463,0.00006790332,0.00005662497,0.0004626729,0.9975368,0.001061238],"study_design_scores_gemma":[0.00006223463,0.000004181386,0.004527422,0.0001287699,0.00000728346,0.0000212731,0.00009058143,0.00009386061,0.0002106218,0.0004590798,0.9943778,0.00001685692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005225651,0.000009170572,0.00004007085,0.00001857106,0.00001112902,0.000006068331,0.9989624,0.0001530569,0.0007473374],"genre_scores_gemma":[0.0002143436,0.00001677097,0.0001878705,0.00001587753,0.00000265415,0.00004379672,0.9986772,0.00009557857,0.0007459173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8736323,"threshold_uncertainty_score":0.4554587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936346530372904,"score_gpt":0.2970244689014814,"score_spread":0.2676610035977524,"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."}}