{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.005671421,0.001042714,0.0009807762,0.003577599,0.001151314,0.0013278,0.001414169,0.00132384,0.1282941],"category_scores_gemma":[0.001375103,0.001004182,0.0003250186,0.003000181,0.002714045,0.00161556,0.0006998743,0.002359803,0.4398216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007358811,"about_ca_system_score_gemma":0.001103946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003060929,"about_ca_topic_score_gemma":0.02906632,"domain_scores_codex":[0.9865976,0.003512455,0.0009153441,0.001340801,0.004587466,0.003046364],"domain_scores_gemma":[0.9945814,0.0005769066,0.0004947566,0.002036776,0.001372046,0.0009381206],"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":[0.0004500159,0.000445235,0.002562697,0.0006462791,0.0003966871,0.00004739373,0.003694403,0.000003708143,0.02420113,0.02640655,0.9376792,0.003466698],"study_design_scores_gemma":[0.0004387742,0.0003476142,0.0016704,0.0006137685,0.00006440742,0.00003936475,0.002262106,0.00002690527,0.008949666,0.001118945,0.9835345,0.0009336025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004801662,0.03079671,0.0001337851,0.006402552,0.002461629,0.00594091,0.003888131,0.001160109,0.9444145],"genre_scores_gemma":[0.01893414,0.003876514,0.0009364813,0.00003516992,0.00407006,0.0006087532,0.002205452,0.001910502,0.9674229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3115275,"threshold_uncertainty_score":1,"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."}}