{"id":"W4390081101","doi":"10.1093/geroni/igad104.2885","title":"IDENTIFYING THE PATTERNS OF CAREGIVING DEMANDS: A LATENT CLASS ANALYSIS APPROACH","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Latent class model; Minor (academic); Gerontology; Psychology; Sample (material); Class (philosophy); Primary care; Medicine; Family medicine; Computer science; Humanities","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01068144,0.001021951,0.0009712203,0.006221837,0.002628742,0.004271928,0.002076319,0.0009648468,0.004040917],"category_scores_gemma":[0.01976449,0.0004948367,0.002180235,0.00619814,0.001510801,0.00158624,0.002537016,0.002424311,0.000462151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003778823,"about_ca_system_score_gemma":0.003721343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05661361,"about_ca_topic_score_gemma":0.03387527,"domain_scores_codex":[0.9910218,0.005215727,0.0005048508,0.0008900972,0.001393897,0.0009736175],"domain_scores_gemma":[0.9863424,0.008778588,0.00180888,0.001050983,0.001427782,0.0005914273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004453988,0.001030305,0.9308543,0.000104639,0.0005403803,0.0001621246,0.007332796,0.00781905,0.0008037794,0.006983161,0.002385536,0.04153858],"study_design_scores_gemma":[0.00009146753,0.0003019751,0.6394995,0.0001563182,0.0001957534,0.0001271159,0.0197018,0.3194197,0.0005323493,0.01715584,0.002661784,0.0001564145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398055,0.0001274125,0.05495619,0.0005376533,0.00003911076,0.0008236646,0.001822532,0.0001367758,0.001751193],"genre_scores_gemma":[0.9821519,0.00005088358,0.01530559,0.00001852334,0.00001428317,0.000530129,0.001508841,0.00002008486,0.0003997828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05661361,"threshold_uncertainty_score":0.1125682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03946577512791913,"score_gpt":0.3228549540129864,"score_spread":0.2833891788850672,"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."}}