{"id":"W7145128432","doi":"","title":"外国人労働者に関する小史","year":2017,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"New Zealand Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; World War II; Human trafficking; Middle East; Illegal immigrants; Immigration 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":[0.002648349,0.0003709936,0.0006200795,0.008318586,0.001571365,0.004107572,0.0009422913,0.000481114,0.06953888],"category_scores_gemma":[0.009969968,0.0004437833,0.0003877172,0.0127181,0.0008623353,0.002887687,0.001490037,0.0007500426,0.05777266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002905648,"about_ca_system_score_gemma":0.009525778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1205734,"about_ca_topic_score_gemma":0.09691174,"domain_scores_codex":[0.9973565,0.0001803638,0.0003005807,0.0003569229,0.001549654,0.0002559317],"domain_scores_gemma":[0.9874644,0.00157281,0.001156614,0.002179219,0.006708708,0.0009181875],"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":[0.0005107298,0.0001984304,0.03136346,0.0007131399,0.00003816557,0.00020472,0.0009899235,0.0006280409,0.002286013,0.02042842,0.5757035,0.3669355],"study_design_scores_gemma":[0.00006585507,0.00007968828,0.06805646,0.000183154,0.00003912627,0.0002172628,0.0008686282,0.001309201,0.004745567,0.004654838,0.9197013,0.00007883849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05133562,0.002022847,0.01797647,0.002425301,0.0005662298,0.001355278,0.5937222,0.00817748,0.3224185],"genre_scores_gemma":[0.1584721,0.004399323,0.03229465,0.0005671441,0.0003103615,0.001259479,0.600495,0.001230986,0.2009708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1205734,"threshold_uncertainty_score":0.2397432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.049245461980528,"score_gpt":0.2612377938988102,"score_spread":0.2119923319182822,"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."}}