{"id":"W4387524670","doi":"10.55650/igj.1980.791","title":"The Irish abroad: Better questions through a better source, the Canadian census","year":2016,"lang":"en","type":"article","venue":"Irish Geography","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aurora College; University of Toronto","funders":"","keywords":"Irish; Emigration; Census; Context (archaeology); Protestantism; Acculturation; Ethnic group; Immigration; Genealogy; Demographic economics; Sociology; Geography; Political science; History; Demography; Law; Economics; Population; Archaeology; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007465506,0.0001927879,0.0001696732,0.0000926931,0.006794379,0.0005048679,0.0007175782,0.0001579807,0.0001817774],"category_scores_gemma":[0.0002654424,0.0001015122,0.0002739322,0.0006471271,0.002282467,0.0002503584,0.0000823476,0.0002581251,0.0001746523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009403138,"about_ca_system_score_gemma":0.0001759186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.463687,"about_ca_topic_score_gemma":0.524545,"domain_scores_codex":[0.9974788,0.0003183026,0.0002535073,0.0003303245,0.0005360257,0.001083067],"domain_scores_gemma":[0.9985229,0.0004969289,0.00009409968,0.0004176013,0.0002466791,0.0002218169],"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":[0.000002858483,0.00001094095,0.09168218,0.00000110201,0.00006274922,0.000007690265,0.001143684,1.172065e-7,0.000001567557,0.0001607618,0.8817009,0.02522549],"study_design_scores_gemma":[0.0001586276,0.00001492234,0.1550244,0.00002748067,0.0000315984,0.000002644899,0.001112307,2.124434e-7,0.000004026302,0.002561892,0.8408848,0.0001770707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1047756,0.003627564,0.0001044174,0.3687191,0.00157323,0.0006787198,0.0002011607,0.0002494905,0.5200707],"genre_scores_gemma":[0.9749385,0.001912818,0.0002246857,0.01497269,0.002070053,0.0002608971,0.000006706136,0.00003561553,0.005578089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8701628,"threshold_uncertainty_score":0.9944986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490265658288899,"score_gpt":0.2859502226970475,"score_spread":0.2710475661141585,"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."}}