{"id":"W6920423793","doi":"10.6068/dp14ba7f5836671","title":"Trend 2002 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: International migrants, by age group and sex, provinces, and territories | Variable: 98 years, Immigrants, Males | Units: # Persons, 2002-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-160.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Population; Population statistics; Demographic statistics; Summary 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":[],"consensus_categories":[],"category_scores_codex":[0.002122565,0.002286974,0.002621183,0.007036227,0.003360885,0.004665251,0.005009823,0.001255189,0.1082407],"category_scores_gemma":[0.01655562,0.001626832,0.002016445,0.03509478,0.0005985898,0.002317092,0.002419227,0.002971875,0.05280728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0484929,"about_ca_system_score_gemma":0.1246978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952856,"about_ca_topic_score_gemma":0.9933084,"domain_scores_codex":[0.9967731,0.0002661955,0.0003719388,0.0004180594,0.001421087,0.0007496115],"domain_scores_gemma":[0.9729974,0.0008892808,0.0006653118,0.0007879373,0.02319749,0.001462561],"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":[0.000024304,0.000006392203,0.001076517,0.0002510297,0.00002169484,0.000007851933,0.00003482595,0.0001234179,0.000009710298,0.0004505509,0.9954372,0.002556625],"study_design_scores_gemma":[0.0001832483,0.00001472004,0.02606312,0.0009984176,0.00007632597,0.00003733468,0.000633342,0.0006987929,0.0001699787,0.0009068979,0.9701147,0.0001032219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007387345,0.00007200696,0.00005465268,0.0001697217,0.00004488799,0.00002869313,0.9979765,0.0001041392,0.001475704],"genre_scores_gemma":[0.001510207,0.0004850759,0.0008601034,0.000244273,0.0000283381,0.0002522449,0.9900539,0.0002219715,0.006343826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1082407,"threshold_uncertainty_score":0.3621013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007929505678098345,"score_gpt":0.2073108864341686,"score_spread":0.1993813807560703,"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."}}