{"id":"W3173038969","doi":"10.2139/ssrn.3175368","title":"Child Monetary Poverty and Multidimensional Deprivations: Why They Differ","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Université Laval","funders":"","keywords":"Poverty; Economics; Geography; Development economics; Psychology; Economic growth","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":[0.004860625,0.0003673963,0.0007427304,0.002479973,0.0008829563,0.003733481,0.001503859,0.001859903,0.008163976],"category_scores_gemma":[0.03928255,0.0004795714,0.001331664,0.002882372,0.002619394,0.003299893,0.003331941,0.001927927,0.0008523052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105616,"about_ca_system_score_gemma":0.0009566793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468442,"about_ca_topic_score_gemma":0.01278396,"domain_scores_codex":[0.9950565,0.002272411,0.0003043894,0.0007082346,0.0008133539,0.0008450561],"domain_scores_gemma":[0.9799983,0.01079903,0.003233066,0.001596552,0.00209643,0.002276743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005107166,0.0001695895,0.9534273,0.0001285258,0.0006008864,0.0002805781,0.007681597,0.0002547418,0.000295793,0.01274914,0.002106847,0.02179417],"study_design_scores_gemma":[0.00003039905,0.00005808296,0.9787477,0.0001567806,0.0001199418,0.0002321128,0.007256363,0.0002760188,0.00007759361,0.01188467,0.001125633,0.0000344564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656121,0.009046195,0.0007612242,0.008564565,0.0003044996,0.00004287358,0.0009604651,0.00001710826,0.01469107],"genre_scores_gemma":[0.9977786,0.0007341002,0.0002404775,0.000442687,0.00008029755,0.00002070812,0.000292454,0.00001326058,0.0003974098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468442,"threshold_uncertainty_score":0.02919787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007443496142712874,"score_gpt":0.2477234145432421,"score_spread":0.2402799184005293,"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."}}