{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009246059,0.001071715,0.00122288,0.000241441,0.0003113191,0.0007748269,0.0007948322,0.0006517404,0.0005618325],"category_scores_gemma":[0.00009280536,0.00111093,2.828844e-7,0.0004620022,0.0005917042,0.0007784309,0.000488286,0.0007651899,0.000002477201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772072,"about_ca_system_score_gemma":0.003374915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999568,"about_ca_topic_score_gemma":0.999965,"domain_scores_codex":[0.9942144,0.0007034331,0.001050324,0.001970065,0.001221319,0.0008404732],"domain_scores_gemma":[0.9957331,0.00059216,0.000922714,0.001861236,0.00003755067,0.0008531939],"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":[0.0001987644,0.0000843454,0.002159589,0.0006275458,0.00031463,0.0001554044,0.00001650641,0.000002883507,0.0000183309,0.00008998534,0.9960222,0.0003098193],"study_design_scores_gemma":[0.001281056,0.0001516619,0.0002997257,0.00006901407,0.0007345052,0.0001654237,0.0003512031,0.007075512,1.223147e-8,8.55598e-7,0.9887076,0.001163412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008529581,0.01019156,0.00001317738,0.000002373477,0.0003577995,0.001167652,0.9879405,0.0001077085,0.0001339345],"genre_scores_gemma":[0.000225757,0.003286511,0.0003257167,0.0001885373,0.0001914311,0.00002846824,0.9947342,0.000326462,0.0006929621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007314578,"threshold_uncertainty_score":0.9991341,"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."}}