{"id":"W4399651105","doi":"10.32614/cran.package.cancensus","title":"cancensus: Access, Retrieve, and Work with Canadian Census Data and Geography","year":2018,"lang":"en","type":"dataset","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Work (physics); Cartography; Sociology; Demography; Engineering; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000934216,0.0002637737,0.0003649481,0.0004700818,0.001433063,0.0006424321,0.0009887565,0.0003018352,0.0001194631],"category_scores_gemma":[0.000175238,0.0002063747,0.00001765212,0.001163174,0.001388908,0.000570912,0.0004989183,0.0002296393,0.00001024514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005751035,"about_ca_system_score_gemma":0.0005200135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9154621,"about_ca_topic_score_gemma":0.9856715,"domain_scores_codex":[0.9980295,0.00007472156,0.0002997546,0.0004702618,0.000546275,0.0005794683],"domain_scores_gemma":[0.9980647,0.0001027698,0.000240905,0.0008209716,0.0003362732,0.0004343629],"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":[0.000007107531,0.000002783686,0.04542466,0.00005082003,0.0001083044,0.000004859177,0.0003054509,9.211583e-9,3.30091e-10,0.00006579364,0.9538924,0.0001378915],"study_design_scores_gemma":[0.000142516,0.00002143692,0.01429087,0.0001379421,0.00007208867,0.000002520198,0.001480768,1.862294e-7,1.37621e-8,0.00002725367,0.9835259,0.0002984813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002593612,0.0008997335,5.166435e-7,0.001032882,0.0003689321,0.0005282009,0.9891077,0.00003830789,0.007764342],"genre_scores_gemma":[0.001142016,0.006150523,0.0001433753,0.0006435757,0.0003981495,0.00002347217,0.9912044,0.00001095415,0.0002835125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0702093,"threshold_uncertainty_score":0.999867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04275578592898939,"score_gpt":0.3155551440447923,"score_spread":0.2727993581158029,"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."}}