{"id":"W2984363981","doi":"10.1093/geroni/igz038.2893","title":"OLDER BLUES MUSICIANS","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Blues; Longevity; Face (sociological concept); Psychology; Gerontology; Art; Medicine; Sociology; Art history; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005339656,0.000299455,0.0002996135,0.001013892,0.002012631,0.001713824,0.000285531,0.0006178442,0.03217156],"category_scores_gemma":[0.001767175,0.0001080972,0.0002371224,0.0007525564,0.0004866911,0.001016975,0.001853267,0.0007846996,0.004243614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005689004,"about_ca_system_score_gemma":0.0008639597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01474127,"about_ca_topic_score_gemma":0.02858756,"domain_scores_codex":[0.9995839,0.00003664051,0.00001555187,0.00004564981,0.0001019193,0.0002163093],"domain_scores_gemma":[0.9987804,0.00005418614,0.000222306,0.00004050292,0.000316564,0.0005860323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009163425,0.000952018,0.6485254,0.0002430359,0.0000625933,0.003045471,0.04258013,0.00008689688,0.007311083,0.002809099,0.05875979,0.2347081],"study_design_scores_gemma":[0.00007241739,0.0008500459,0.782562,0.0001896484,0.00005723379,0.002281087,0.1285205,0.0001202596,0.0007040605,0.001088984,0.0835205,0.00003325662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718062,0.000621755,0.00009871973,0.003161085,0.0002701092,0.00002572681,0.0003545696,0.00001884678,0.02364285],"genre_scores_gemma":[0.9533244,0.0008613753,0.0001590773,0.002101776,0.0002866757,0.00003156696,0.0003094006,0.000009962166,0.04291578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03217156,"threshold_uncertainty_score":0.1076247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04131270636080397,"score_gpt":0.3124310960906059,"score_spread":0.2711183897298019,"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."}}