{"id":"W7028924586","doi":"","title":"Gyventojų senėjimas - iššūkis socialinei ir darbo rinkos politikai","year":2007,"lang":"en","type":"dissertation","venue":"Laba (Lietuvos akademinių bibliotekų direktorių asociacija)","topic":"European Linguistics and Anthropology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lithuanian; Population; Population ageing; State (computer science); Social policy; Work (physics); Working life; Quarter (Canadian coin); Birth rate","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":[0.0006858383,0.0005731182,0.0004692171,0.0008700275,0.002752089,0.003952063,0.0003620606,0.0008762355,0.0605137],"category_scores_gemma":[0.0005363584,0.0002159614,0.0002904348,0.0008261884,0.001067335,0.0009473405,0.002491784,0.001169628,0.01213177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659097,"about_ca_system_score_gemma":0.004610183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520268,"about_ca_topic_score_gemma":0.004868459,"domain_scores_codex":[0.9995434,0.0001180791,0.00002457769,0.00007121863,0.00008905462,0.0001537143],"domain_scores_gemma":[0.9998136,0.00003538268,0.00002693596,0.000022707,0.00004163143,0.00005974465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005207145,0.0005130871,0.0241214,0.003136518,0.0000807172,0.003916029,0.01749369,0.0007205181,0.007592322,0.2310066,0.1608846,0.5500138],"study_design_scores_gemma":[0.00001196232,0.0000532975,0.0137178,0.0005401601,0.00001275451,0.0005714195,0.003549438,0.00008956586,0.0009150315,0.002658562,0.9778635,0.00001645342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1399499,0.07257389,0.002226246,0.01664904,0.003893371,0.0001610204,0.001505525,0.0005510253,0.7624901],"genre_scores_gemma":[0.4402072,0.03525798,0.002953945,0.001837142,0.000742054,0.0001795484,0.0009857106,0.0001903414,0.5176461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0605137,"threshold_uncertainty_score":0.2024385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142181361676538,"score_gpt":0.4279030347632815,"score_spread":0.3964812211465161,"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."}}