{"id":"W1517333122","doi":"10.48550/arxiv.1207.1361","title":"Local Utility Elicitation in GAI Models","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Photo elicitation; Expert elicitation; Computer science; Mathematics; Statistics; Knowledge management","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":[0.01590437,0.001748544,0.001994438,0.000855612,0.0009737636,0.002882694,0.002276102,0.002613856,0.006676887],"category_scores_gemma":[0.06068207,0.0008122431,0.001360558,0.001553041,0.002065821,0.005129804,0.004599272,0.004185864,0.0009632577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002864157,"about_ca_system_score_gemma":0.00179267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619102,"about_ca_topic_score_gemma":0.002632058,"domain_scores_codex":[0.9686494,0.02442443,0.001044406,0.002287106,0.002832324,0.0007622396],"domain_scores_gemma":[0.9389578,0.05116768,0.002383941,0.005115883,0.001686524,0.0006881938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009047108,0.0004417635,0.003314797,0.0009197452,0.0002366614,0.000582978,0.003209135,0.4059395,0.007406557,0.4472543,0.005328855,0.124461],"study_design_scores_gemma":[0.0001101777,0.0001856971,0.0004691169,0.00006221772,0.00004344491,0.0001025744,0.0004173405,0.6397638,0.002679639,0.3531563,0.002951846,0.00005783615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03788852,0.000127241,0.9531052,0.0006729568,0.00001535471,0.0003743965,0.0003698276,0.0003341675,0.007112336],"genre_scores_gemma":[0.739865,0.0001958699,0.2549419,0.0003533564,0.0000369014,0.001110901,0.0005129811,0.0001007533,0.002882348],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01590437,"threshold_uncertainty_score":0.08411133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05897354434674374,"score_gpt":0.1718882670034339,"score_spread":0.1129147226566902,"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."}}