{"id":"W2758834325","doi":"","title":"Child Economic Vulnerability Dynamics in the Recession","year":2016,"lang":"en","type":"book-chapter","venue":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Trinity College Dublin; Ulster University; University College Dublin; Royal Irish Academy; Economic and Social Research Institute; Queen's University Belfast; Queen's University; European Commission; Society for Research in Child Development; Deparment of Children and Youth Affairs, Ireland; UNICEF","keywords":"Recession; Vulnerability (computing); Dynamics (music); Great recession; Economics; Geography; Environmental science; Psychology; Keynesian economics; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0171991,0.001320786,0.002226294,0.002963363,0.005386452,0.0003777361,0.00555916,0.001805901,0.004794285],"category_scores_gemma":[0.003136231,0.0009050024,0.000581961,0.0009518593,0.0008864207,0.001117611,0.005534861,0.00985811,0.004802445],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006243946,"about_ca_system_score_gemma":0.002442635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003202506,"about_ca_topic_score_gemma":0.06317575,"domain_scores_codex":[0.9845753,0.004433954,0.002948345,0.0023151,0.002722297,0.003004985],"domain_scores_gemma":[0.98218,0.01139485,0.0008965381,0.003190047,0.00152085,0.000817711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002958386,0.0005436032,0.02369775,0.001093462,0.0003420064,0.0002198795,0.00151899,0.00001070571,7.848412e-7,0.6957064,0.2577268,0.01618124],"study_design_scores_gemma":[0.004257159,0.0006452512,0.02052593,0.002324085,0.00007443734,0.000006135989,0.001417996,0.00009624369,0.000005966458,0.0450214,0.9242408,0.001384563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02324686,0.0003412764,0.00002703278,0.08712842,0.002076929,0.01119588,0.004445108,0.0002670526,0.8712714],"genre_scores_gemma":[0.4319468,0.003095488,0.00003395729,0.002291761,0.003507051,0.00246389,0.0005792721,0.0003189612,0.5557628],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.666514,"threshold_uncertainty_score":0.9999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2396435254123216,"score_gpt":0.4960889967382384,"score_spread":0.2564454713259168,"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."}}