{"id":"W6920489807","doi":"10.6068/dp14ba7ee85450","title":"Trend 1971 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: Number of non-permanent residents, by age group and sex for July 1 | Variable: 66 years, Males | Units: # Persons, 1971-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-160.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Official statistics; Population statistics; Summary statistics; Demographic statistics; Socioeconomic status; Economic statistics; Social statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00203069,0.002215424,0.002534647,0.00711576,0.003053176,0.004348365,0.004906185,0.001225312,0.1096334],"category_scores_gemma":[0.01685699,0.00153046,0.001857459,0.03480967,0.0006000389,0.002270201,0.002386955,0.002950818,0.05911863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04481875,"about_ca_system_score_gemma":0.1163586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942007,"about_ca_topic_score_gemma":0.9920956,"domain_scores_codex":[0.996824,0.0002432487,0.0003579064,0.0004124167,0.00143399,0.0007283543],"domain_scores_gemma":[0.9736946,0.0009044444,0.0006663627,0.0007576963,0.02261582,0.00136094],"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":[0.00001960844,0.000005805555,0.0009563626,0.0002219324,0.00001842587,0.000006712433,0.00002777449,0.0001204015,0.000008340385,0.0003550725,0.9960365,0.002223127],"study_design_scores_gemma":[0.0001689697,0.00001322183,0.02424708,0.0009291183,0.00006171779,0.0000329613,0.0005248049,0.000626676,0.0001564687,0.0008157272,0.9723326,0.000090668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006275863,0.0000583467,0.00004573108,0.0001405617,0.00003775203,0.00002407651,0.9983285,0.00008988052,0.001212403],"genre_scores_gemma":[0.001243139,0.0004078614,0.0006810249,0.0001985748,0.00002642052,0.0002134053,0.9916248,0.0001884287,0.005416395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8903666,"threshold_uncertainty_score":0.3667601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084013825370777,"score_gpt":0.2594842596339766,"score_spread":0.2386441213802688,"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."}}