{"id":"W7009759433","doi":"","title":"Forging Careers: Historical Insights to Immigration Groups In Canada's Labor Landscape","year":2024,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Ethnic group; Work (physics); Cover (algebra); Public policy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002301909,0.0004708865,0.0005078485,0.006448512,0.07256625,0.01533103,0.003191116,0.002230355,0.008631784],"category_scores_gemma":[0.004323193,0.0005160612,0.0002706058,0.01175642,0.01929002,0.003972524,0.008452741,0.004480653,0.0005260758],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1618704,"about_ca_system_score_gemma":0.1763012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915113,"about_ca_topic_score_gemma":0.9976133,"domain_scores_codex":[0.9968126,0.0004707134,0.00005141947,0.0001942695,0.0004489685,0.002022033],"domain_scores_gemma":[0.9952068,0.0006853343,0.0003282452,0.00009841751,0.0009758128,0.002705346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000373021,0.00003910353,0.01691967,0.00008323626,0.000004965912,0.001026815,0.9089816,0.00006784934,0.0001527233,0.0372171,0.0164388,0.01903083],"study_design_scores_gemma":[0.000002066375,0.000009935791,0.02014983,0.0002701726,0.00000523226,0.0001578196,0.8448985,0.00005703607,0.00006967424,0.0007623457,0.1335953,0.00002208792],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7391403,0.01106715,0.000578516,0.03038043,0.0006781021,0.0001380093,0.0009805417,0.00005295319,0.2169839],"genre_scores_gemma":[0.9595407,0.004723958,0.0003339356,0.001339039,0.00005663325,0.00003412444,0.000222641,0.00005603263,0.03369291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1618704,"threshold_uncertainty_score":0.9721116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005448188902023876,"score_gpt":0.1963341082731895,"score_spread":0.1908859193711656,"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."}}