{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01033635,0.0001232796,0.0001716513,0.0006431016,0.0005859367,0.0001670951,0.0003796557,0.0001012246,0.002607599],"category_scores_gemma":[0.0005017763,0.0001336846,0.00008439595,0.0002026425,0.0002673192,0.0001150254,0.0004480242,0.0004653783,0.00001725414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004644788,"about_ca_system_score_gemma":0.0001359883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008822534,"about_ca_topic_score_gemma":0.001960691,"domain_scores_codex":[0.9970052,0.0007606904,0.0003570717,0.0003626966,0.001232508,0.000281801],"domain_scores_gemma":[0.9984298,0.0008474587,0.0001951317,0.0001715436,0.0003049415,0.00005109416],"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":[0.0004940908,0.0001125784,0.001633679,0.0004997307,0.0004678848,0.0000675652,0.01981659,0.00002868811,0.000005030241,0.3711503,0.4703375,0.1353864],"study_design_scores_gemma":[0.0001334959,0.00001894151,0.002025935,0.0004856254,0.00001721169,8.092882e-7,0.006856794,0.00006965522,0.000001055053,0.006268792,0.9839823,0.000139349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00220104,0.0003935818,0.00009925353,0.001328459,0.0005233733,0.0004890819,0.00001564847,0.0000309852,0.9949186],"genre_scores_gemma":[0.06058421,0.005980541,0.0003249364,0.00005827413,0.0004806715,0.00008224496,0.00009961236,0.00002001113,0.9323695],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5136449,"threshold_uncertainty_score":0.9983041,"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."}}