{"id":"W2986839439","doi":"10.1093/geroni/igz038.1978","title":"2019 GSA FELLOWS SYMPOSIUM: STRENGTH IN AGE: HARNESSING THE POWER OF NETWORKS","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discipline; Theme (computing); Power (physics); Gerontology; Sociology; Political science; Medicine; Social science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006372556,0.0005049858,0.0003925487,0.00116228,0.003470557,0.006793223,0.0008570211,0.004367667,0.03085649],"category_scores_gemma":[0.007610783,0.0002201649,0.000463218,0.0005877536,0.003837373,0.003975898,0.00764693,0.005040832,0.005451808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003132881,"about_ca_system_score_gemma":0.006491753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440545,"about_ca_topic_score_gemma":0.008653287,"domain_scores_codex":[0.9980755,0.0008470195,0.00004210765,0.0001607453,0.000431625,0.0004429049],"domain_scores_gemma":[0.9881077,0.001333651,0.0003054854,0.0003003586,0.001482363,0.0084704],"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":[0.00004687254,0.00005291798,0.0008566568,0.0002036287,0.00001260874,0.0001423298,0.001420126,0.0001333269,0.0004636578,0.02819019,0.909424,0.05905375],"study_design_scores_gemma":[0.000009017278,0.00005756681,0.002002656,0.0004292127,0.00001039712,0.0001211641,0.002488223,0.0001056961,0.0001683784,0.01535012,0.9792408,0.00001666134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01148427,0.02731699,0.002401979,0.7544544,0.09769218,0.00007427263,0.0001664905,0.0001490434,0.1062604],"genre_scores_gemma":[0.3436964,0.06110013,0.005937336,0.1147005,0.09301719,0.0003440149,0.0003756703,0.0003160434,0.3805127],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03085649,"threshold_uncertainty_score":0.1032252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629423957487099,"score_gpt":0.3480909130660685,"score_spread":0.3217966734911976,"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."}}