{"id":"W4377029787","doi":"10.33137/ic.v3i.41113","title":"Immigration: Old and New","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Immigration; Political science; History; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001256186,0.00004118514,0.00004571006,0.00007848346,0.0002197473,0.00008578297,0.00006642328,0.0000450924,0.0004610464],"category_scores_gemma":[0.00005563889,0.00004543473,0.00001504598,0.0004550383,0.00005409824,0.0001015622,0.000004992008,0.00003397899,0.0001848067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006710523,"about_ca_system_score_gemma":0.0003506839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2495158,"about_ca_topic_score_gemma":0.9639112,"domain_scores_codex":[0.9995139,0.00002259578,0.00006377002,0.00009966423,0.0001173454,0.0001827318],"domain_scores_gemma":[0.9995123,0.00001936442,0.00001558959,0.00007313248,0.00002121985,0.0003583673],"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":[7.356964e-7,0.00000147756,0.003304351,0.000002394147,0.000006439932,0.0000170589,0.02483352,0.000009191438,0.00001220772,0.3633195,0.5941312,0.01436192],"study_design_scores_gemma":[0.000056842,0.000005068712,0.00683436,0.000003398717,0.000002945507,3.716365e-7,0.005562196,0.0004319654,0.000001883385,0.001765699,0.9852603,0.00007494588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7261209,0.0003280012,0.00008426116,0.1345106,0.0009748434,0.0003213864,0.00008618637,0.0003667079,0.1372071],"genre_scores_gemma":[0.7423334,0.0001517146,0.00006562918,0.001781041,0.0003065864,0.00000332244,0.00002532636,0.000007786174,0.2553253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7143955,"threshold_uncertainty_score":0.7554818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241509471790568,"score_gpt":0.2811313124782497,"score_spread":0.2569803652991929,"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."}}