{"id":"W4361250477","doi":"10.33137/ic.v10i.40717","title":"Cultural Constructs or Organic Evolution? Italian Immigrant Settlements in Ontario","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Human settlement; Sociology; Ethnology; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001274484,0.0002316191,0.0003730448,0.00188494,0.007793781,0.003135661,0.001127546,0.0004080951,0.005267651],"category_scores_gemma":[0.002695224,0.0002079743,0.0003170871,0.004865838,0.003779555,0.000840072,0.002600686,0.0008424119,0.0002647712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0338571,"about_ca_system_score_gemma":0.04564843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872146,"about_ca_topic_score_gemma":0.9968167,"domain_scores_codex":[0.9989139,0.0001308894,0.00002906084,0.000132779,0.0001451095,0.0006482972],"domain_scores_gemma":[0.9983547,0.0001618469,0.0003460616,0.0001215347,0.0005538642,0.0004618529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004606735,0.0001382113,0.6783301,0.000118421,0.00008697993,0.001071414,0.2520719,0.0003121473,0.001398168,0.02214597,0.003750122,0.04011588],"study_design_scores_gemma":[0.0000227666,0.00003804091,0.7904339,0.0001309054,0.00003689711,0.0001460726,0.1862025,0.0002042439,0.0001523069,0.0008264938,0.0217695,0.00003638408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857001,0.0002529386,0.00005985931,0.0006751423,0.00001204955,0.00001845895,0.0002507518,0.000003975755,0.01302684],"genre_scores_gemma":[0.9962059,0.0002144468,0.00009324545,0.00006242235,0.000003491664,0.000009880474,0.0001168348,0.000005883067,0.003287912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0338571,"threshold_uncertainty_score":0.2456517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912779901683188,"score_gpt":0.2773996203618106,"score_spread":0.2482718213449787,"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."}}