{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001514692,0.0002239598,0.0002397303,0.001280181,0.004820345,0.007722885,0.0004747228,0.0007888359,0.005405715],"category_scores_gemma":[0.001938325,0.000116993,0.000177854,0.001486137,0.008195624,0.004645615,0.002774475,0.00148923,0.0006473936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006900746,"about_ca_system_score_gemma":0.003748678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09309548,"about_ca_topic_score_gemma":0.1971314,"domain_scores_codex":[0.9990174,0.0001516975,0.00003887052,0.0001384882,0.0002468068,0.0004068655],"domain_scores_gemma":[0.9989273,0.00009287611,0.0001544291,0.00005873963,0.0001873907,0.000579226],"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":[0.0002495358,0.0001056186,0.07855034,0.0004036194,0.00004045588,0.002236616,0.230797,0.0001304275,0.0009380026,0.3684197,0.1633536,0.154775],"study_design_scores_gemma":[0.00001385951,0.00004840678,0.09301283,0.0007370423,0.00002220244,0.0009403048,0.1418249,0.0000714923,0.0000970325,0.01010292,0.7530813,0.00004769291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.385315,0.05364174,0.0006164038,0.1144221,0.00609398,0.00004089898,0.0003969268,0.00003850033,0.4394345],"genre_scores_gemma":[0.8884568,0.02405779,0.0004027036,0.01264542,0.003189808,0.00002792676,0.0001988668,0.00003579905,0.07098491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9069045,"threshold_uncertainty_score":0.1851072,"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."}}