{"id":"W3021653782","doi":"","title":"Introduction - Countries of immigrants, countries of migrants. Canada, Italy","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Immigration; Geography; Demographic economics; Political science; Development economics; Economics; Archaeology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005225269,0.0002627572,0.0006337949,0.0001726141,0.0007051594,0.0001856478,0.001072344,0.0002785368,0.0004500811],"category_scores_gemma":[0.002210812,0.0003019828,0.000176274,0.0004724966,0.0008545108,0.0002101363,0.0003620076,0.0004262757,0.000011727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003209479,"about_ca_system_score_gemma":0.00475123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9082839,"about_ca_topic_score_gemma":0.9826388,"domain_scores_codex":[0.9939384,0.003015158,0.0009220563,0.0005928579,0.00116587,0.0003656097],"domain_scores_gemma":[0.9925128,0.0007459591,0.001184894,0.001065985,0.004275373,0.0002150093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008241701,0.0003894803,0.05109846,0.002186695,0.000227483,0.000003331194,0.1543643,0.00004912505,0.0005612147,0.6909426,0.09819179,0.001903047],"study_design_scores_gemma":[0.001356858,0.000003887093,0.1097397,0.003427809,0.0004739191,0.000004848389,0.01382489,0.001106166,0.04864323,0.02617244,0.7936859,0.001560374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7467911,0.008484241,0.01133813,0.2014263,0.002394792,0.001762881,0.001367841,0.0002653917,0.02616929],"genre_scores_gemma":[0.9843973,0.00901545,0.001929236,0.0001623729,0.0002174309,0.00002561222,0.0004279116,0.00002845461,0.003796256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6954941,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428533949520384,"score_gpt":0.2522057511158338,"score_spread":0.23792041162063,"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."}}