{"id":"W4294577895","doi":"10.1007/978-3-031-13231-5","title":"Making Sense of Immigrant Work Integration","year":2022,"lang":"en","type":"book","venue":"International Marketing and Management Research","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Immigration; Work (physics); Sense (electronics); Sociology; History; Engineering; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001810841,0.0003540595,0.0003463116,0.0007383642,0.004468995,0.006848868,0.0005658201,0.002196668,0.01094768],"category_scores_gemma":[0.003822317,0.0001599349,0.0002216147,0.0007123757,0.005274037,0.006738785,0.005143238,0.00425243,0.002372118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107134,"about_ca_system_score_gemma":0.002237769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609497,"about_ca_topic_score_gemma":0.006793059,"domain_scores_codex":[0.9990091,0.0005501197,0.00002468145,0.00004947972,0.0002447861,0.0001218778],"domain_scores_gemma":[0.9986047,0.000711771,0.00009379017,0.00005431794,0.0001491024,0.0003862408],"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":[0.00001342081,0.00003326442,0.0005802368,0.0001275444,0.000007079771,0.0005709031,0.08903824,0.00004236228,0.0002264012,0.1239074,0.6706911,0.1147621],"study_design_scores_gemma":[0.000003394767,0.00002143949,0.0008548088,0.0005413665,0.00000416452,0.0005700623,0.0523053,0.00003854853,0.00005803433,0.02612916,0.9194639,0.000009858532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01229239,0.07835284,0.00174485,0.2475733,0.02202683,0.00003408476,0.00005497464,0.0001209258,0.6377999],"genre_scores_gemma":[0.2318509,0.06491307,0.00329908,0.07986989,0.009571272,0.000161678,0.0001356295,0.0002395659,0.6099589],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01094768,"threshold_uncertainty_score":0.0366236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08665410825169892,"score_gpt":0.3955790643858252,"score_spread":0.3089249561341263,"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."}}