{"id":"W4322619725","doi":"10.3390/sports11030055","title":"Role Models of Aging among Older Men: Strategies for Facilitating Change and Implications for Health Promotion","year":2023,"lang":"en","type":"article","venue":"Sports","topic":"Physical Activity and Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Thematic analysis; Psychology; Perception; Health promotion; Gerontology; Promotion (chess); Successful aging; Alliance; Behaviour change; Qualitative research; Social psychology; Developmental psychology; Medicine; Sociology; Public health; Political science; Psychological intervention","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02480015,0.0007379298,0.0004807975,0.00161979,0.00899157,0.006037206,0.002061419,0.001830734,0.003191828],"category_scores_gemma":[0.01878791,0.0004360184,0.0006426824,0.0008865615,0.01170645,0.006985821,0.008253464,0.002967594,0.00030469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0066712,"about_ca_system_score_gemma":0.01741719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01646572,"about_ca_topic_score_gemma":0.04356529,"domain_scores_codex":[0.9878308,0.009786059,0.0002239878,0.000328209,0.0007756563,0.001055213],"domain_scores_gemma":[0.9887767,0.005840719,0.001023409,0.0005774877,0.0008812335,0.002900451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004848658,0.0003729941,0.01039042,0.0005193833,0.00001792639,0.0005558272,0.8765038,0.0001097519,0.0006961463,0.03344257,0.00426251,0.07308019],"study_design_scores_gemma":[0.00004031771,0.0001798736,0.007275817,0.001028308,0.00003464571,0.0003149677,0.8810148,0.0005030594,0.0004464473,0.02032031,0.0887891,0.00005230742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7110264,0.01085452,0.04326622,0.1553277,0.0009497436,0.001242586,0.0001045435,0.0002496345,0.07697867],"genre_scores_gemma":[0.9731343,0.002863912,0.01721707,0.002271853,0.00007387655,0.0004364684,0.0000308802,0.00002791229,0.003943617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02480015,"threshold_uncertainty_score":0.1311573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325869026885166,"score_gpt":0.3898935351900863,"score_spread":0.2573066325015697,"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."}}