{"id":"W2936486509","doi":"10.1332/239788219x15473079319309","title":"Life course trajectories of family care","year":2019,"lang":"en","type":"article","venue":"International Journal of Care and Caring","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta","funders":"Economic and Social Research Council; AGE-WELL","keywords":"Life course approach; Disadvantage; Context (archaeology); Family life; Population ageing; Diversity (politics); Psychology; Population; Gerontology; Sociology; Developmental psychology; Medicine; Computer science; Gender studies; History; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009570965,0.0001329958,0.0001172984,0.000769979,0.001427005,0.001267514,0.0004346021,0.0006565489,0.004039907],"category_scores_gemma":[0.005012224,0.0001226501,0.0002942751,0.0006466001,0.0004944743,0.001283232,0.001703486,0.0007797059,0.0004350317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996036,"about_ca_system_score_gemma":0.0009176994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0274566,"about_ca_topic_score_gemma":0.03031927,"domain_scores_codex":[0.9996568,0.0001237767,0.00001831346,0.00006626105,0.00004471308,0.00009015259],"domain_scores_gemma":[0.9986718,0.0002594461,0.0002417111,0.00005587132,0.0003614736,0.0004098487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007557492,0.0003634056,0.752161,0.0001773668,0.0001352331,0.001194121,0.05268122,0.004041363,0.001781535,0.05856812,0.00620756,0.1219332],"study_design_scores_gemma":[0.0000219233,0.0003389609,0.9145913,0.0002576066,0.00003690281,0.001050799,0.02605345,0.003357266,0.0006647623,0.02036904,0.03318651,0.00007145348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976324,0.001453291,0.003720867,0.002356066,0.00002628123,0.00008807255,0.002206645,0.00003340164,0.01379137],"genre_scores_gemma":[0.9952909,0.000558435,0.001229041,0.00007963829,0.000004234815,0.00004973467,0.0009651041,0.000005493297,0.001817447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0274566,"threshold_uncertainty_score":0.05459356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008934963529502288,"score_gpt":0.2937728711519306,"score_spread":0.2848379076224283,"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."}}