{"id":"W4413819327","doi":"10.3138/cjpe-2024-0040","title":"Reconstructing Baseline: A Case Study from Nepal","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Geography; History; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002911715,0.00008985316,0.0002442213,0.0005337653,0.0001798994,0.0001395651,0.0001361497,0.00005280937,0.0002536146],"category_scores_gemma":[0.0006041184,0.0001048216,0.00008825093,0.0003903999,0.00002915462,0.0002162383,0.000008571704,0.0001668809,0.00002897176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003182919,"about_ca_system_score_gemma":0.0005187483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04339919,"about_ca_topic_score_gemma":0.06015055,"domain_scores_codex":[0.9987706,0.00006193102,0.0007460458,0.0001706747,0.00005468959,0.000196058],"domain_scores_gemma":[0.9989464,0.0000372685,0.0004738328,0.0001643242,0.0002570222,0.0001211776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000007694623,0.00006250887,0.3691633,0.000005278668,0.00008741386,0.0003961936,0.0008502792,0.00012344,3.118614e-7,0.00268079,0.0005268236,0.6260959],"study_design_scores_gemma":[0.01382522,0.002172613,0.3405865,0.0004495404,0.0008432419,0.0008912781,0.0433037,0.1983592,0.00003561554,0.162675,0.2354128,0.001445327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883552,0.001919135,0.002797827,0.0002787772,0.001541559,0.0009110159,0.00002998064,0.00000735002,0.004159181],"genre_scores_gemma":[0.996366,0.00001196658,0.003211708,0.0001032013,0.0001899781,0.00004626867,0.00000560558,0.000007412723,0.00005786311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6246506,"threshold_uncertainty_score":0.9629709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008543367940065,"score_gpt":0.3260660034665272,"score_spread":0.2252116666725207,"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."}}