{"id":"W4394940755","doi":"10.33137/ic.v37i1.42105","title":"La nonna canadese 2.0: Global Migrant or Marginal Player?","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"European Law and Migration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004335867,0.0001020537,0.0001020841,0.00007772105,0.0003980541,0.00012146,0.0002546156,0.00008268547,0.0005099494],"category_scores_gemma":[0.0001675112,0.00009687943,0.00005101455,0.000801965,0.0001647159,0.000140407,0.00001485261,0.0000833119,0.0007632124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005009119,"about_ca_system_score_gemma":0.001390828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7281954,"about_ca_topic_score_gemma":0.9934533,"domain_scores_codex":[0.9986782,0.0001676063,0.0001304809,0.0002103437,0.0002882647,0.0005251094],"domain_scores_gemma":[0.9991698,0.00005581267,0.00003461791,0.0001557222,0.00004274492,0.0005412617],"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":[0.00002305339,0.00001207192,0.005099563,0.00001467344,0.00003154474,0.002064321,0.007617667,0.00001516843,0.00002060354,0.1002655,0.8717802,0.01305572],"study_design_scores_gemma":[0.0001308078,0.00001944837,0.0187981,0.00001680874,0.000009483202,0.000007229471,0.002436767,0.00002517119,0.000002886815,0.0002425674,0.9781641,0.0001465997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5223849,0.0001276654,0.00001429502,0.01216723,0.001077529,0.0003165421,0.0005418972,0.0002993152,0.4630706],"genre_scores_gemma":[0.9549693,0.00002627648,0.0000361664,0.0006817401,0.0003713847,0.000007886691,0.00003315797,0.00001405697,0.04386003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4325844,"threshold_uncertainty_score":0.9809806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0355810470267392,"score_gpt":0.3262036515328342,"score_spread":0.290622604506095,"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."}}