{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3756428,0.0009955155,0.002338939,0.01337631,0.006510549,0.01363628,0.004638494,0.00494524,0.02107181],"category_scores_gemma":[0.7371094,0.002825612,0.001440639,0.01081709,0.008115867,0.01401388,0.01044372,0.009429575,0.006938385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005159966,"about_ca_system_score_gemma":0.01332704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634313,"about_ca_topic_score_gemma":0.001571144,"domain_scores_codex":[0.4965438,0.3417643,0.03614507,0.02219274,0.09594497,0.00740912],"domain_scores_gemma":[0.1664319,0.6504969,0.02736896,0.09111467,0.0599179,0.004669513],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001930629,0.0002551037,0.01763937,0.0013267,0.0001953271,0.00156445,0.0188589,0.001966012,0.00359397,0.3935715,0.2456601,0.3134379],"study_design_scores_gemma":[0.0005053572,0.0004153603,0.01426264,0.00210951,0.0001770322,0.001022649,0.00586414,0.02678229,0.01048267,0.2418268,0.6963142,0.0002374918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08251498,0.002372205,0.5869724,0.07952672,0.009708464,0.01818941,0.008744352,0.003494115,0.2084773],"genre_scores_gemma":[0.4802962,0.001609876,0.400832,0.01970082,0.008030654,0.02757446,0.01141345,0.003931958,0.04661068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6243572,"threshold_uncertainty_score":0.7699436,"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."}}