{"id":"W7099104376","doi":"","title":"Child Support in an Economic Downturn: Changes in Earnings, Child Support Orders, and Payments","year":2011,"lang":"en","type":"article","venue":"","topic":"Education, Technology, and Economics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Child support; Receipt; Poverty; Income Support; Quarter (Canadian coin); Public support; Earnings; Payment; Child poverty","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003693856,0.0001461314,0.0001893063,0.000343775,0.00006620703,0.00006086991,0.000584488,0.0001266774,0.0005150157],"category_scores_gemma":[0.00000755193,0.0001501105,0.00001634704,0.0001143903,0.0000677812,0.0006407201,0.0001896589,0.0001929026,0.00007814737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007320029,"about_ca_system_score_gemma":0.00006231989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007557482,"about_ca_topic_score_gemma":0.01541825,"domain_scores_codex":[0.9988551,0.00002271718,0.0002555578,0.0004862616,0.00003408658,0.0003462717],"domain_scores_gemma":[0.999357,0.000007496103,0.00009187721,0.0004420001,0.000009061463,0.00009251639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003532765,0.0001788896,0.9723138,0.00000854525,0.000008774569,0.000006166748,0.005495802,0.00000840419,0.000004418626,0.01151917,0.001150492,0.009301984],"study_design_scores_gemma":[0.0006639923,0.0002809996,0.9875992,0.00001183133,0.000002739689,0.0000600667,0.001071011,0.001145379,0.0004896593,0.001752769,0.006561943,0.0003604095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763514,0.00002558319,0.0001291237,0.003206067,0.0003904453,0.0002016405,0.000002542537,0.0001259938,0.0195672],"genre_scores_gemma":[0.9959815,0.0001475151,0.002623795,0.0008289009,0.00004402128,0.00002685519,0.000009628961,0.00001053432,0.0003272991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01963004,"threshold_uncertainty_score":0.8603746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208730679984185,"score_gpt":0.2390706281835288,"score_spread":0.2181975601851103,"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."}}