{"id":"W4323660804","doi":"10.33137/ic.v19i.40152","title":"Technology, Italian Immigration and Diaspora","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Diaspora; Immigration; Political science; Economic geography; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008703289,0.0002646122,0.0002457574,0.003033068,0.004930391,0.004352402,0.0003758922,0.0006462914,0.01443028],"category_scores_gemma":[0.00394141,0.00008681077,0.0002942891,0.006918373,0.003287216,0.0008726589,0.001623108,0.001002888,0.0005407023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0082592,"about_ca_system_score_gemma":0.01528078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7222312,"about_ca_topic_score_gemma":0.8230773,"domain_scores_codex":[0.9991339,0.0001781515,0.00002775897,0.00005297364,0.0001482774,0.0004589484],"domain_scores_gemma":[0.9977865,0.0004792486,0.0004506656,0.00008137096,0.0003137476,0.0008884331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005497258,0.0008786323,0.7324413,0.0002528234,0.0001353656,0.001170238,0.02907328,0.0003884927,0.0004366548,0.1297704,0.0160021,0.08890095],"study_design_scores_gemma":[0.00003755335,0.0001021659,0.8809623,0.0003445092,0.0001069909,0.0002766246,0.05692224,0.0001790544,0.00009748618,0.004320885,0.05661983,0.00003032446],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7837391,0.006369144,0.0001154194,0.008818604,0.0001362036,0.00003361407,0.0004812535,0.00001309673,0.2002935],"genre_scores_gemma":[0.9832946,0.004205173,0.00005736961,0.0003931288,0.0001219454,0.00001161026,0.0001198856,0.000008752163,0.01178771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2777688,"threshold_uncertainty_score":0.5588092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745506390356198,"score_gpt":0.2675524712853656,"score_spread":0.2500974073818036,"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."}}