{"id":"W6939168850","doi":"10.6068/dp14ba8159dda87","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: Interprovincial migrants, by age group and sex | Variable: 18 years and over, Net-migration, Both sexes | Units: # Persons, 1972-2013. 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; Official statistics; Population; Population statistics; Summary statistics; Demographic statistics; Economic statistics; Socioeconomic status; Internal migration","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":[0.002203364,0.002285734,0.002564571,0.007363409,0.003152413,0.004549486,0.005011991,0.001306099,0.114966],"category_scores_gemma":[0.01779804,0.001663213,0.001954657,0.03718058,0.0006233152,0.002405518,0.002510965,0.003051414,0.05941183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04716028,"about_ca_system_score_gemma":0.1254361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945527,"about_ca_topic_score_gemma":0.9919741,"domain_scores_codex":[0.9964558,0.0002732509,0.0004148633,0.0004579283,0.001606242,0.0007917553],"domain_scores_gemma":[0.9716742,0.000961495,0.0007292644,0.0008496314,0.02429086,0.001494476],"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":[0.00002238158,0.000006152282,0.0009785334,0.0002396267,0.00001942203,0.000006913635,0.00002938736,0.0001190966,0.000009395972,0.0003703167,0.995849,0.002349645],"study_design_scores_gemma":[0.0001711465,0.00001357138,0.0234384,0.0009299545,0.00006254327,0.00003170721,0.000536394,0.0005696338,0.0001582405,0.0008182058,0.9731775,0.00009265864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005872484,0.00005604391,0.00004725955,0.0001397172,0.00003894757,0.00002571392,0.9982748,0.00009272803,0.001266116],"genre_scores_gemma":[0.001221417,0.0004000863,0.0007734528,0.0002214156,0.00002686809,0.0002342553,0.9909652,0.0002063559,0.005950913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.114966,"threshold_uncertainty_score":0.3845995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140566286311923,"score_gpt":0.2326671463153639,"score_spread":0.2186105176841716,"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."}}