{"id":"W182415924","doi":"10.3233/sju-2003-203-407","title":"The selection and vetting of statistical stories","year":2004,"lang":"en","type":"article","venue":"Statistical Journal of the United Nations Economic Commission for Europe","topic":"Social Development and Education Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Vetting; Selection (genetic algorithm); Computer science; Operations research; Mathematics; Artificial intelligence; Computer security","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001221153,0.0000430144,0.00008251832,0.0002380806,0.00145086,0.00008092055,0.0001991815,0.00002568263,0.00005657557],"category_scores_gemma":[0.006227157,0.00002741656,0.00002451319,0.0005140001,0.0003192869,0.00007189918,0.00003260914,0.00013716,0.000002073577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376744,"about_ca_system_score_gemma":0.0008349468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002410576,"about_ca_topic_score_gemma":0.0003310213,"domain_scores_codex":[0.9991202,0.0002252967,0.0003113775,0.00005091728,0.0001719615,0.0001201862],"domain_scores_gemma":[0.9965971,0.002626312,0.0001987364,0.00004488466,0.0004431811,0.0000897706],"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":[0.00003591828,0.00002260848,0.0008116981,0.000004772109,0.00002008012,1.360275e-7,0.001874398,0.0001223332,0.00002730873,0.9837434,0.009183081,0.004154211],"study_design_scores_gemma":[0.000553127,0.00009856807,0.01797411,0.00004183707,0.00003123413,0.000004423065,0.004531564,0.0002679243,0.0001160218,0.07362083,0.9026877,0.00007269059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4988964,0.0004626871,0.2373514,0.1663985,0.007692405,0.002185439,0.0004847365,0.00007080962,0.08645768],"genre_scores_gemma":[0.9851885,0.000340172,0.01147164,0.00002632709,0.0002276229,0.000004372313,0.000005483687,0.00001076823,0.00272504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9101226,"threshold_uncertainty_score":0.9998491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280728991011243,"score_gpt":0.3859213538908083,"score_spread":0.3431140639806959,"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."}}