{"id":"W1999938645","doi":"10.1111/j.1467-8586.2004.00187.x","title":"Fuzzy Targeting Indices and Orderings","year":2004,"lang":"en","type":"article","venue":"Bulletin of Economic Research","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Fuzzy logic; Membership function; Fuzzy set; Robustness (evolution); Mathematics; Population; Partition (number theory); Set (abstract data type); Econometrics; Computer science; Data mining; Artificial intelligence; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00506034,0.00006138194,0.0001534241,0.000103497,0.0004704016,0.00008155372,0.0002764246,0.00008377407,0.00100023],"category_scores_gemma":[0.0005549638,0.00006235288,0.00003390506,0.00006792938,0.0006326735,0.00005881999,0.0001390351,0.0001927706,0.0002934163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001725672,"about_ca_system_score_gemma":0.000254944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04677644,"about_ca_topic_score_gemma":0.001087238,"domain_scores_codex":[0.9986835,0.0002216932,0.000249871,0.0002174589,0.0002265719,0.0004008863],"domain_scores_gemma":[0.9992885,0.0003199884,0.00007506714,0.0001231733,0.00008276423,0.0001105352],"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":[0.0001000305,0.0001400517,0.02587673,0.0001634551,0.00004571853,0.000006319231,0.03230875,0.00008998976,0.0004682838,0.8878018,0.04786647,0.005132415],"study_design_scores_gemma":[0.0006696058,0.0001291727,0.004261977,0.00004426206,0.000002582573,6.702334e-7,0.01429502,0.000003002359,0.0008401895,0.07008749,0.9094839,0.0001821537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6911575,0.0002587607,0.000001752528,0.006046826,0.00009659142,0.0001351678,0.000003222885,0.00001432856,0.3022859],"genre_scores_gemma":[0.9967672,0.0005852965,0.0004679735,0.00007379303,0.0002731681,0.000008758316,0.000001434246,0.000008084628,0.001814341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8616174,"threshold_uncertainty_score":0.999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08558527409959535,"score_gpt":0.390655797031391,"score_spread":0.3050705229317957,"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."}}