{"id":"W7119270375","doi":"","title":"Poeticizing after sixty: An experience on aging","year":2020,"lang":"pt","type":"article","venue":"","topic":"History, Culture, and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Qualitative research; Context (archaeology); Elderly people; Affect (linguistics); Population ageing","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":[0.003653528,0.0008280752,0.000852379,0.001300602,0.009359957,0.004549086,0.0006906399,0.00181972,0.005195368],"category_scores_gemma":[0.006728293,0.000374046,0.0005408411,0.0008443522,0.006385564,0.004007068,0.007306671,0.003506085,0.0008425055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002376,"about_ca_system_score_gemma":0.001438209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004675356,"about_ca_topic_score_gemma":0.007582453,"domain_scores_codex":[0.9987701,0.0005405657,0.00004832094,0.0001007349,0.0002047791,0.000335433],"domain_scores_gemma":[0.9977493,0.000693605,0.0003128583,0.0001790047,0.0002380396,0.0008273476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000697955,0.000151494,0.007772051,0.00008047774,0.000007243556,0.001147108,0.9752634,0.00002173224,0.000819802,0.001548154,0.001739521,0.01137916],"study_design_scores_gemma":[0.0000125187,0.0005976163,0.02005996,0.00008758654,0.00002205297,0.001674221,0.9297755,0.0000494389,0.0004373713,0.0009632494,0.04627281,0.00004770734],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847913,0.001670063,0.0002852503,0.001434508,0.0003013139,0.00004097632,0.00003676879,0.0000350986,0.01140468],"genre_scores_gemma":[0.9863394,0.001149758,0.0001494616,0.0007171799,0.00008166426,0.00003487626,0.00002486589,0.0000182162,0.01148445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009359957,"threshold_uncertainty_score":0.01932192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341753688832733,"score_gpt":0.4215666617569283,"score_spread":0.2873912928736549,"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."}}