{"id":"W4255732913","doi":"10.18356/8f2ecc97-en","title":"Appendixes","year":2012,"lang":"pl","type":"other","venue":"IOM migration research series","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Elderly care; Migrant workers; Residential care; Older people; Aged care; Nursing; Elder care; Medicine; Gerontology; Political science; Economic growth","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002777834,0.0006584476,0.0007557711,0.006211435,0.001398301,0.001856673,0.001812046,0.000837783,0.7446954],"category_scores_gemma":[0.02918127,0.0004388125,0.0004080622,0.007174837,0.0004035937,0.001694652,0.001296486,0.001179887,0.4079053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002060534,"about_ca_system_score_gemma":0.003578383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501784,"about_ca_topic_score_gemma":0.0131658,"domain_scores_codex":[0.9978533,0.0005348269,0.000311524,0.0002410554,0.0009084989,0.0001507471],"domain_scores_gemma":[0.9815237,0.006745559,0.000630626,0.001852847,0.008664216,0.0005830092],"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":[0.00004892278,0.00004180407,0.0004644199,0.0002963025,0.00000350554,0.00004816536,0.0001029008,0.0001572518,0.00006656576,0.003471157,0.9639962,0.03130303],"study_design_scores_gemma":[0.00001667992,0.00001834721,0.001586759,0.000208954,0.000003092663,0.00007429213,0.0001971842,0.00005862721,0.00006708399,0.002136851,0.9956226,0.000009666274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00187651,0.0008278963,0.005846809,0.002017568,0.002264758,0.001805242,0.5541754,0.001885028,0.4293007],"genre_scores_gemma":[0.008805125,0.002372232,0.01345751,0.00170568,0.0005351844,0.003499275,0.4993573,0.001436886,0.4688308],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2553046,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230454527577265,"score_gpt":0.4169541299958873,"score_spread":0.2939086772381608,"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."}}