{"id":"W6913027582","doi":"10.5683/sp3/iuxx8j","title":"Census of Population, 1996 [Canada]: The Nation Series, Education, Mobility and Migration [B2020]","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Aggregate data; American Community Survey; Demographic analysis; Population statistics; Data series; Series (stratigraphy)","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":[0.001492558,0.002175999,0.00186197,0.005826425,0.001684239,0.002829017,0.003313337,0.0007710125,0.02519169],"category_scores_gemma":[0.01078563,0.001061659,0.0009363796,0.02925872,0.0004927074,0.001563872,0.001415994,0.002453839,0.02452326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02565933,"about_ca_system_score_gemma":0.05734184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9654871,"about_ca_topic_score_gemma":0.9600529,"domain_scores_codex":[0.9982101,0.000132836,0.0002310026,0.0002811578,0.000772877,0.0003721438],"domain_scores_gemma":[0.9909915,0.0003194782,0.0003662301,0.0004502337,0.00728815,0.0005844521],"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":[0.00002101586,0.000007766123,0.001714341,0.0002719612,0.00001777115,0.00001146555,0.0000332684,0.0001727792,0.00001504391,0.0005760331,0.9949753,0.002183221],"study_design_scores_gemma":[0.0001223997,0.000009668273,0.04859915,0.0005446604,0.00004268178,0.00004689943,0.0003218095,0.0005166517,0.0002225368,0.0008657604,0.9486488,0.00005894687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009607548,0.00005456541,0.00004154488,0.00007167988,0.00002757359,0.00001857238,0.9987709,0.00004984734,0.0008692117],"genre_scores_gemma":[0.0009206238,0.0002650681,0.0003396719,0.00005118146,0.00001128641,0.000112317,0.9966748,0.00004633001,0.001578744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03451288,"threshold_uncertainty_score":0.1861724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271596929784192,"score_gpt":0.252507577161773,"score_spread":0.2397916078639311,"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."}}