{"id":"W2589135789","doi":"","title":"Софтверски систем за превентивна заштита на стари лица","year":2016,"lang":"mk","type":"other","venue":"Goce Delchev University Repository (Goce Delčev University of Štip)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Pace; Quarter (Canadian coin); Population; Health care; Mews; Population ageing; Business; Medicine; Gerontology; Economic growth; Medical emergency; Geography; Environmental health; Economics; Finance","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":[0.003175426,0.0009012123,0.0005934411,0.002431981,0.004130736,0.01122667,0.001403563,0.002931068,0.04807387],"category_scores_gemma":[0.00860346,0.000799842,0.0008834335,0.002064063,0.00802087,0.007091431,0.003662913,0.003865051,0.01555221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004873153,"about_ca_system_score_gemma":0.007984319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007716507,"about_ca_topic_score_gemma":0.007510972,"domain_scores_codex":[0.9949404,0.001349661,0.000280924,0.001030983,0.001876527,0.0005214809],"domain_scores_gemma":[0.9955851,0.001157313,0.0004298075,0.000803527,0.001592639,0.0004317161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000342915,0.00003060266,0.0009166206,0.0001622791,0.00001909875,0.0002457611,0.002313154,0.0005053098,0.000980608,0.9446984,0.01333697,0.03675695],"study_design_scores_gemma":[0.00002568028,0.00003513129,0.002165581,0.0002965316,0.00003139484,0.0005078345,0.002815161,0.001112316,0.001741269,0.3687273,0.6224806,0.00006120863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01956225,0.008310155,0.07266273,0.01791145,0.001681655,0.0002072328,0.0007007839,0.0004110503,0.8785527],"genre_scores_gemma":[0.5301857,0.0123671,0.09453456,0.003571848,0.001340446,0.000803927,0.0009095267,0.0009030642,0.3553839],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04807387,"threshold_uncertainty_score":0.160823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005166862854457418,"score_gpt":0.155890522014259,"score_spread":0.1507236591598016,"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."}}