{"id":"W7111545337","doi":"","title":"An Explanation of Intergenerational Educational Mobility Using The Correlated Mare Model: A Danish Test Case","year":2012,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Test (biology); Danish; Affect (linguistics); Population; Variation (astronomy)","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":[0.001730299,0.0005245391,0.0008132872,0.001194213,0.001382137,0.002598256,0.001783025,0.002020846,0.01768847],"category_scores_gemma":[0.007061732,0.0002985405,0.001205063,0.001679336,0.001202103,0.002723989,0.001986778,0.001250694,0.0007460837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462036,"about_ca_system_score_gemma":0.001280896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04892999,"about_ca_topic_score_gemma":0.02831602,"domain_scores_codex":[0.9991536,0.0004488849,0.00003854321,0.0001137307,0.0000684269,0.0001767643],"domain_scores_gemma":[0.997077,0.002010866,0.0003112172,0.0002860019,0.0001867203,0.0001282909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007702887,0.0001049476,0.009470567,0.00005489843,0.00005428276,0.001467793,0.001385505,0.05260803,0.0001152014,0.9254651,0.002114673,0.0070821],"study_design_scores_gemma":[0.0002400939,0.0001200812,0.01503716,0.00009923313,0.0001425228,0.001085092,0.003932754,0.3872727,0.0002590366,0.5804216,0.01130872,0.00008115572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7167715,0.001145851,0.1368886,0.009625026,0.0001150121,0.0002178108,0.001963696,0.0001557054,0.1331169],"genre_scores_gemma":[0.9863322,0.0002508997,0.004130749,0.00005596193,0.00001096643,0.00004670491,0.0001523667,0.00001441463,0.009005793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04892999,"threshold_uncertainty_score":0.0972904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06056862261950324,"score_gpt":0.3561104566952019,"score_spread":0.2955418340756986,"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."}}