{"id":"W2915226194","doi":"10.1553/populationyearbook2005","title":"Vienna Yearbook of Population Research 2005","year":2006,"lang":"de","type":"paratext","venue":"Vienna Yearbook of Population Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.02858737,0.001125276,0.002938609,0.006644515,0.002208566,0.0001189896,0.002265398,0.003810475,0.01307994],"category_scores_gemma":[0.004015279,0.001192478,0.0006481239,0.004799204,0.00151438,0.0005627192,0.001763954,0.008830843,0.03886287],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004139385,"about_ca_system_score_gemma":0.003069116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1142365,"about_ca_topic_score_gemma":0.008631956,"domain_scores_codex":[0.959524,0.01640915,0.006142106,0.002440905,0.0101626,0.005321292],"domain_scores_gemma":[0.9788502,0.004691285,0.002615724,0.003489347,0.009085116,0.001268298],"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":[0.001444709,0.001205039,0.03162947,0.01359039,0.0002362611,0.00004239713,0.002905149,0.00057849,0.001248047,0.01047831,0.9329683,0.00367346],"study_design_scores_gemma":[0.002751064,0.001545939,0.2691637,0.01304423,0.0001359671,0.000004443516,0.002061866,0.002174753,0.0002123291,0.005344338,0.7022281,0.001333286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5328653,0.0754239,0.0001459326,0.007035636,0.01614842,0.03795845,0.005340305,0.0004801702,0.3246019],"genre_scores_gemma":[0.7217376,0.005041747,0.001294523,0.0001203341,0.005989858,0.0006058246,0.008677607,0.0005392542,0.2559933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2375342,"threshold_uncertainty_score":0.9996836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2821469737559907,"score_gpt":0.5889977079721009,"score_spread":0.3068507342161103,"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."}}