{"id":"W2910882869","doi":"10.30689/r2018:3.1403.2503","title":"Finnish case study:Enhancing labour market opportunity for immigrant women in Finnish Lapland","year":2018,"lang":"en","type":"article","venue":"LaCRIS (University of Lapland)","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Immigration; Labour economics; Demographic economics; Business; Economics; Political science","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0049464,0.0001179262,0.0003186913,0.0001772152,0.001391081,0.00007458626,0.0006202122,0.0001242257,0.001979934],"category_scores_gemma":[0.0006474573,0.0001328005,0.0000702999,0.0007814292,0.0008352678,0.0004886269,0.0001587013,0.0001642829,0.00001189285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601002,"about_ca_system_score_gemma":0.0005626851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1743653,"about_ca_topic_score_gemma":0.6354444,"domain_scores_codex":[0.9975728,0.0005391585,0.000180632,0.000344957,0.000572902,0.0007895309],"domain_scores_gemma":[0.998474,0.0004877526,0.0001463093,0.00020539,0.0002777288,0.0004087884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006687372,0.0006289963,0.2649426,0.00009317241,0.00008195449,0.002563312,0.6924464,0.000001606021,0.000100204,0.001265579,0.02710476,0.0101026],"study_design_scores_gemma":[0.001667491,0.0006126945,0.0291069,0.00003001296,0.00001385519,0.00001438457,0.8724198,0.00007412121,0.00001625273,0.001763459,0.09401817,0.000262802],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788249,0.00001723058,0.00009204362,0.001044524,0.0001975999,0.0006549152,0.0001127707,0.0000397232,0.01901631],"genre_scores_gemma":[0.9909348,0.00005533859,0.0003069864,0.00006482413,0.0001554061,0.000003498507,0.000002815534,0.000006551803,0.008469814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4610792,"threshold_uncertainty_score":0.999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280505559774248,"score_gpt":0.3223907580268087,"score_spread":0.2795857024290662,"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."}}