{"id":"W1996080417","doi":"10.1017/s0714980800001501","title":"Targeting Social Support: A Network Assessment of the Convoy Model of Social Support","year":2002,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Interpersonal ties; Social support; Set (abstract data type); Psychological intervention; Social network (sociolinguistics); Social network analysis; Psychology; Computer science; Social psychology; World Wide Web; Social media","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":[0.004298512,0.0004376293,0.0003315633,0.00383036,0.0009081015,0.002240525,0.0009428069,0.0007225964,0.003723559],"category_scores_gemma":[0.0213563,0.0001690092,0.0006021994,0.002806928,0.001183688,0.00390635,0.002879866,0.0005959086,0.0002449184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008188,"about_ca_system_score_gemma":0.001064001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005787636,"about_ca_topic_score_gemma":0.005805209,"domain_scores_codex":[0.9955387,0.002981682,0.0001288087,0.0003252682,0.0008915949,0.0001340094],"domain_scores_gemma":[0.9914446,0.00458023,0.001307274,0.0006263941,0.001551564,0.0004898114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007220526,0.0005164583,0.4147215,0.0006685054,0.0004678245,0.0002469305,0.01221111,0.03891043,0.001366962,0.3256875,0.004949465,0.1995313],"study_design_scores_gemma":[0.000163731,0.001182723,0.1947292,0.000427151,0.0003786806,0.0004750747,0.02345975,0.4823733,0.001625283,0.2728655,0.02220436,0.0001152199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7056113,0.0004136332,0.2118013,0.001515704,0.00006693385,0.0009970085,0.001028725,0.0001615049,0.07840388],"genre_scores_gemma":[0.9809048,0.00007694929,0.01793331,0.00002048087,0.000006432705,0.0002840502,0.0001612845,0.000006533469,0.0006063076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005787636,"threshold_uncertainty_score":0.02273297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645665284450438,"score_gpt":0.2791197958815717,"score_spread":0.2526631430370673,"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."}}