{"id":"W7099535647","doi":"","title":"Alternatives, Development (INSTEAD) in Differdange, Luxembourg. Income Inequality as a Canadian Cohort Ages: An Analysis of the Later Life Course","year":2000,"lang":"en","type":"article","venue":"","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Life course approach; Inequality; Cohort; Economic inequality; Population","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":[0.0006022367,0.0003332184,0.0003372736,0.002081088,0.001677519,0.001717464,0.001055156,0.0003941612,0.00800463],"category_scores_gemma":[0.001282668,0.0001831296,0.0007622046,0.00397233,0.000671585,0.0006087051,0.001131509,0.000680435,0.0005543444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01422723,"about_ca_system_score_gemma":0.01277926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9744322,"about_ca_topic_score_gemma":0.9877181,"domain_scores_codex":[0.999315,0.00005021412,0.00001708172,0.00009417033,0.00009882887,0.0004246871],"domain_scores_gemma":[0.9994795,0.00003402873,0.00008201491,0.00004305431,0.000191634,0.0001699432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003493375,0.00005192503,0.9251291,0.00008788548,0.0001576533,0.0004583585,0.004664119,0.001103785,0.0006070521,0.01915921,0.004164623,0.04406682],"study_design_scores_gemma":[0.000009679102,0.00002853879,0.9829667,0.00004737259,0.00003185138,0.0000605696,0.002118779,0.0003403473,0.0001085412,0.00049215,0.01378468,0.00001077506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764714,0.002322122,0.0004084586,0.001144218,0.00003132135,0.0000328085,0.009155046,0.00002039006,0.01041422],"genre_scores_gemma":[0.9842227,0.0006437664,0.0003382651,0.00008501732,0.000005870106,0.00002291005,0.002924793,0.00001022297,0.01174642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02556783,"threshold_uncertainty_score":0.1032263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883175689449389,"score_gpt":0.2474359168825595,"score_spread":0.2286041599880656,"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."}}