{"id":"W4391728560","doi":"10.1007/978-3-031-17299-1_1710","title":"Low Income Cut-Offs (LICOs)","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Business; Economics","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":[0.001541684,0.0003328139,0.0004510219,0.001538117,0.001307775,0.004724847,0.0009794543,0.001650866,0.04545217],"category_scores_gemma":[0.004178032,0.0002091009,0.0003867655,0.001566144,0.001619396,0.001938236,0.002383722,0.003499816,0.008016502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001974505,"about_ca_system_score_gemma":0.001919498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005330994,"about_ca_topic_score_gemma":0.009242797,"domain_scores_codex":[0.9987547,0.0002037815,0.00004077422,0.0001029985,0.0003951652,0.0005025936],"domain_scores_gemma":[0.998897,0.0002878295,0.0001886117,0.0001228481,0.0002105663,0.0002931956],"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":[0.00008241321,0.000099712,0.002021811,0.00008240315,0.000008258752,0.0001131083,0.0003107606,0.0002204592,0.0002020361,0.7157632,0.133411,0.1476848],"study_design_scores_gemma":[0.00003517089,0.00009215463,0.01118657,0.0004515046,0.00001649433,0.0004377209,0.0007405098,0.0005791092,0.0006597389,0.172214,0.8135505,0.00003661455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02658863,0.005172364,0.004330947,0.008168122,0.001152896,0.0001041259,0.00163294,0.0003172418,0.9525327],"genre_scores_gemma":[0.3650545,0.004013754,0.004067992,0.007635348,0.0007937545,0.0003503451,0.002521112,0.0002146362,0.6153484],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04545217,"threshold_uncertainty_score":0.1520527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186031414861947,"score_gpt":0.2231532483285291,"score_spread":0.1812929341799097,"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."}}