{"id":"W4366818194","doi":"10.3726/b20897","title":"The Italians Who Built Toronto","year":2023,"lang":"en","type":"book","venue":"Peter Lang Verlag eBooks","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Ethnic group; Proletarianization; Work (physics); Industrial city; Oppression; Informal sector; Political science; Economic growth; Sociology; Engineering; Economics; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005993454,0.000193198,0.0002289729,0.00003467006,0.0008440032,0.0002566165,0.0005590501,0.0002786242,0.0003501207],"category_scores_gemma":[0.00006730702,0.0001543304,0.0001870479,0.00001814222,0.0002467129,0.00009420623,0.00008025833,0.0001969433,0.000988288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000469519,"about_ca_system_score_gemma":0.0004737769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006124275,"about_ca_topic_score_gemma":0.540143,"domain_scores_codex":[0.9986215,0.0001025848,0.0002424302,0.000289503,0.0003296778,0.0004143115],"domain_scores_gemma":[0.9990107,0.000275773,0.0001334327,0.0003914401,0.00007459077,0.0001140474],"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":[0.000005966891,0.0000040032,0.00007148479,0.00003020419,0.00007909773,0.00001060602,0.03461265,2.987305e-7,0.000001620053,0.08626477,0.8742222,0.00469713],"study_design_scores_gemma":[0.00006170882,0.0000159092,0.0001727776,0.00004994029,0.00002863721,4.400581e-7,0.00120289,0.000002503269,0.000002333269,0.008398921,0.9898534,0.0002105211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002059974,0.000449517,0.000008789953,0.0001732559,0.001029847,0.0002994038,0.00003106197,0.0002224641,0.9975796],"genre_scores_gemma":[0.000516188,0.0002857722,0.00001105127,0.0002920314,0.002122799,0.00005135962,0.00002893072,0.00004965432,0.9966422],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5340187,"threshold_uncertainty_score":0.9997895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132881720470961,"score_gpt":0.2913215227937047,"score_spread":0.2599927055889951,"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."}}