{"id":"W7096517806","doi":"","title":"The Correlation between Husband’s and Wife’s Education: Canada, 1971–1996." QSEP Research Report no. 353","year":2000,"lang":"en","type":"article","venue":"","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Correlation; Population; Empirical research; Research methodology","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":[0.0008394491,0.0003237901,0.0005964411,0.003687586,0.002356699,0.001216838,0.002082743,0.0005015742,0.01060505],"category_scores_gemma":[0.005340823,0.0004591834,0.00051094,0.01554382,0.0006676774,0.0006337409,0.000944436,0.001102316,0.001476352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03794423,"about_ca_system_score_gemma":0.05906487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984338,"about_ca_topic_score_gemma":0.9992058,"domain_scores_codex":[0.99893,0.00004758341,0.0000964769,0.0001422399,0.0005178227,0.0002658658],"domain_scores_gemma":[0.9926335,0.0004897645,0.0008312636,0.0001617404,0.005062792,0.0008209181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002589405,0.00006343758,0.7826493,0.0005235813,0.0002842949,0.0002143121,0.002507605,0.000886454,0.00009211146,0.003356192,0.1554602,0.05370343],"study_design_scores_gemma":[0.00001290901,0.00001049042,0.9671643,0.0001493753,0.0000483143,0.00006942141,0.0009967135,0.0002568593,0.0001096872,0.0001180705,0.03104555,0.00001821815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3320929,0.03313364,0.0006499825,0.008414852,0.0005271215,0.0001327108,0.586948,0.000189138,0.03791183],"genre_scores_gemma":[0.8190228,0.01875784,0.001235781,0.0004466405,0.00008380806,0.00009766976,0.09227068,0.00007967933,0.06800523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03794423,"threshold_uncertainty_score":0.2753059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568144049343257,"score_gpt":0.446408177902447,"score_spread":0.2895937729681213,"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."}}