{"id":"W7146267472","doi":"","title":"Support for Filipino Migrants in Canada and Japan: A Comparative Analysis","year":2016,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Ethnic group; Population; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004203432,0.0003184635,0.0006048331,0.0001525835,0.001241154,0.00009287959,0.000337687,0.0001494879,0.0002499421],"category_scores_gemma":[0.0003554583,0.0002468962,0.0001521692,0.0009525423,0.001009635,0.0009858117,0.00009706729,0.000171895,0.00001508357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759838,"about_ca_system_score_gemma":0.005433254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8746605,"about_ca_topic_score_gemma":0.9923638,"domain_scores_codex":[0.9971471,0.0001967844,0.0005987201,0.0007253211,0.0008022736,0.0005297557],"domain_scores_gemma":[0.9982753,0.0004482995,0.0002472643,0.0003643324,0.0003360787,0.000328747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002303524,0.001059347,0.5516343,0.0006614017,0.004524934,0.0009795122,0.1275276,0.000344958,0.01097902,0.18118,0.1167291,0.002076341],"study_design_scores_gemma":[0.001827494,0.0001102442,0.07079238,0.0004582902,0.0009053872,0.00004260997,0.01785348,0.0001188337,0.0008824659,0.0001233713,0.9059491,0.0009364122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977403,0.001256842,0.0001711893,0.001057944,0.003790894,0.0007448796,0.009030625,0.00003248332,0.006512082],"genre_scores_gemma":[0.9939051,0.0001281631,0.0002069792,0.0001525485,0.0006812798,0.0000972648,0.0004996157,0.000006650958,0.004322343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7892199,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692949931256471,"score_gpt":0.2800721954448551,"score_spread":0.2531426961322903,"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."}}