{"id":"W3121956513","doi":"10.1007/978-981-13-3432-0_6","title":"Poverty and Time","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Poverty; Economics; Axiom; Context (archaeology); Measure (data warehouse); Econometrics; Order (exchange); Index (typography); Persistence (discontinuity); Basic needs; Development economics; Mathematics; Economic growth; Computer science; Geography; Engineering","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":[0.0004117431,0.0005099793,0.0003447373,0.0008255108,0.002406762,0.004042558,0.0004610924,0.001061134,0.03207355],"category_scores_gemma":[0.001285605,0.0001552119,0.000177223,0.00176412,0.004669952,0.004245441,0.001877759,0.002130572,0.004574993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002580715,"about_ca_system_score_gemma":0.002011273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008869775,"about_ca_topic_score_gemma":0.01398405,"domain_scores_codex":[0.9997695,0.0000878231,0.000006224773,0.00004072202,0.00005403859,0.00004174835],"domain_scores_gemma":[0.9998264,0.00007407925,0.00001412205,0.00002305641,0.0000335455,0.0000289409],"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":[0.000007899499,0.000009750971,0.0001100567,0.0000227591,0.000001493551,0.00001485584,0.00105372,0.00007752138,0.00002793384,0.9464664,0.03362337,0.01858427],"study_design_scores_gemma":[0.000002270384,0.00000656102,0.0003298374,0.0001199699,0.000002021055,0.00003114547,0.001240777,0.00007645811,0.0000335361,0.3815847,0.6165687,0.000003937676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001724079,0.03496226,0.001352679,0.008854532,0.001142766,0.00001678852,0.0001281876,0.00002775596,0.9517909],"genre_scores_gemma":[0.1038571,0.0359091,0.001500812,0.002472728,0.001295913,0.0001029935,0.0002055352,0.00008996321,0.8545659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03207355,"threshold_uncertainty_score":0.1072968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037190949967503,"score_gpt":0.2832573923474414,"score_spread":0.2528854828477664,"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."}}