{"id":"W6931975640","doi":"10.5683/sp3/jjszzw","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Tract (CT) - 1971 - geojson format (WGS84 / EPSG:4326)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; North American Datum of 1927; Census; File format; Documentation; Geocoding; 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":[0.0009914006,0.001648506,0.001087394,0.004508611,0.0007580168,0.00187491,0.002567469,0.000946589,0.06150709],"category_scores_gemma":[0.004315774,0.0008076809,0.0007461331,0.01109966,0.000410615,0.001222474,0.001855459,0.001650242,0.110599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421105,"about_ca_system_score_gemma":0.004120738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.129344,"about_ca_topic_score_gemma":0.190558,"domain_scores_codex":[0.9990043,0.0001344193,0.0001258334,0.0002505238,0.0002749393,0.000209918],"domain_scores_gemma":[0.9975991,0.0002418082,0.0002640414,0.0006622731,0.0010359,0.0001969118],"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":[0.00003118422,0.00001029035,0.001127076,0.0002276569,0.00001289918,0.00001382404,0.00003152362,0.0001131581,0.00008472724,0.0004570578,0.9963128,0.00157773],"study_design_scores_gemma":[0.00007009551,0.00000529933,0.008677828,0.0001467192,0.00001007302,0.00003328995,0.0001286601,0.0001610928,0.0003127402,0.0003980444,0.9900376,0.00001866696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001221616,0.0000146716,0.00005894745,0.00001733407,0.0000112068,0.000007123624,0.9988141,0.0001936554,0.0007608325],"genre_scores_gemma":[0.0002713847,0.00001800406,0.0001723877,0.0000093331,0.000002214213,0.00003946778,0.9988527,0.00005476947,0.0005796952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.129344,"threshold_uncertainty_score":0.2571824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312840322429156,"score_gpt":0.2765426451948628,"score_spread":0.2452586129519472,"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."}}