{"id":"W2976238868","doi":"","title":"Once More to the Well?: Planning for Retirement and Associated Transitions","year":2019,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Business","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":[0.001224044,0.0001303146,0.0001602196,0.000578982,0.001942873,0.001871234,0.0004642086,0.000753111,0.005505304],"category_scores_gemma":[0.004489761,0.0001646811,0.0004315509,0.0007424573,0.0008310304,0.001981444,0.003156389,0.001712363,0.000541687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454883,"about_ca_system_score_gemma":0.002552389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02343863,"about_ca_topic_score_gemma":0.0526563,"domain_scores_codex":[0.9991633,0.0003437233,0.00005981121,0.00006998791,0.00009873784,0.0002644643],"domain_scores_gemma":[0.9982505,0.0002834691,0.0004894657,0.00006684204,0.0001107656,0.000798916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000244175,0.0005040847,0.6339395,0.0005468859,0.00009940544,0.002093124,0.09076567,0.0006049331,0.0003773291,0.008737233,0.03108218,0.2310056],"study_design_scores_gemma":[0.00001321968,0.000212806,0.8055076,0.001159634,0.00004172928,0.001458812,0.1307046,0.0005895402,0.0001447925,0.0059097,0.05419193,0.00006563847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368573,0.007001585,0.0009968166,0.02940926,0.0003381924,0.0001138545,0.001234341,0.00005323745,0.02399541],"genre_scores_gemma":[0.9931686,0.002292903,0.000598787,0.001016574,0.00006637946,0.00004354426,0.0003401326,0.000008422052,0.002464622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02343863,"threshold_uncertainty_score":0.04660439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1350628336416374,"score_gpt":0.4107124404726574,"score_spread":0.27564960683102,"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."}}