{"id":"W4394213616","doi":"10.6084/m9.figshare.23584516.v1","title":"Synergistic Impacts of online and offline social participation on older adults’ subjective well-being: evidence from the Canadian longitudinal study on ageing","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ageing; Online and offline; Psychology; Gerontology; Political science; Medicine","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":[0.003323431,0.00086471,0.0009654863,0.003758027,0.002991633,0.002241205,0.002632168,0.0008500568,0.009522441],"category_scores_gemma":[0.01805126,0.0004481178,0.001983476,0.01149548,0.0005565587,0.001079952,0.00274008,0.001639216,0.002288353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008371597,"about_ca_system_score_gemma":0.01810013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9683903,"about_ca_topic_score_gemma":0.9839973,"domain_scores_codex":[0.9981255,0.0003278146,0.0002467855,0.0002896242,0.0006350314,0.0003752479],"domain_scores_gemma":[0.9905745,0.001486313,0.001134412,0.0008550168,0.005006495,0.0009432608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006959785,0.0001861183,0.4748867,0.002937252,0.001354532,0.0001778295,0.002662713,0.0008473184,0.0001185736,0.003695287,0.4724061,0.04003155],"study_design_scores_gemma":[0.0002372419,0.00003117331,0.8819608,0.00159028,0.0005230592,0.0001073894,0.002073702,0.0008353971,0.0001136216,0.0007626807,0.1116312,0.0001334127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03971744,0.002691993,0.0004712376,0.001072913,0.0001025051,0.0001650108,0.9507928,0.00008532707,0.004900748],"genre_scores_gemma":[0.131012,0.00305194,0.002091714,0.0005691203,0.00005423371,0.001019305,0.8581001,0.00006607664,0.004035475],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03160965,"threshold_uncertainty_score":0.06359154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396142076082538,"score_gpt":0.4174003864064027,"score_spread":0.2777861787981489,"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."}}