{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002046897,0.002124967,0.001548743,0.00819486,0.003220875,0.004627007,0.004995115,0.001054701,0.1164017],"category_scores_gemma":[0.01636677,0.001280355,0.001157227,0.02518046,0.0007432328,0.002221478,0.003462673,0.002471453,0.08481421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01885465,"about_ca_system_score_gemma":0.05592074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9321797,"about_ca_topic_score_gemma":0.9659773,"domain_scores_codex":[0.9979523,0.0001924776,0.0002043007,0.000310696,0.00080084,0.0005393432],"domain_scores_gemma":[0.9904534,0.0008713242,0.0003469628,0.001363569,0.005812338,0.001152401],"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":[0.000007189766,0.000002021733,0.0002898707,0.00009483358,0.000004941727,0.0000061424,0.00002668905,0.00003725211,0.00001092365,0.0005624695,0.9980295,0.0009281375],"study_design_scores_gemma":[0.00004667823,0.000001956417,0.004132095,0.0002209465,0.0000119786,0.00001632348,0.0001657458,0.0001704206,0.0001192095,0.0009546304,0.9941228,0.00003720742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004291397,0.00002046146,0.00009663095,0.00006934538,0.00001887785,0.00001675298,0.9978569,0.0002820465,0.001596114],"genre_scores_gemma":[0.0003735949,0.00006548942,0.0006645137,0.00004576701,0.000005157232,0.000155501,0.9970322,0.0002040025,0.001453808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1164017,"threshold_uncertainty_score":0.3894026,"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."}}