{"id":"W4237880394","doi":"10.1002/047147326x.ch3","title":"Model Analysis","year":2003,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Weibull distribution; Computer science; Context (archaeology); Set (abstract data type); Mathematics; Statistics; Geography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005186088,0.0003422564,0.0009014987,0.0002350696,0.00004608803,0.00005161143,0.0001514082,0.0003365874,0.001650091],"category_scores_gemma":[0.002374399,0.0003131907,0.00006156793,0.0004083809,0.0004584564,0.00003645866,0.00006906613,0.0003199066,0.00000500228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004922922,"about_ca_system_score_gemma":0.00009310429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008624952,"about_ca_topic_score_gemma":0.002477395,"domain_scores_codex":[0.9981202,0.0002734997,0.00052081,0.0005324873,0.0002337935,0.0003192187],"domain_scores_gemma":[0.998369,0.000719016,0.0002040913,0.0005396496,0.00005438588,0.0001138947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001450999,0.00009310849,0.0009421296,0.0007068583,0.0001530303,0.00001163141,0.0001264745,0.000005774556,2.65155e-7,0.9298043,0.06209076,0.006051118],"study_design_scores_gemma":[0.0001366357,0.00004591714,0.00006743092,0.0001441449,0.0004239534,0.000002569715,0.00002087981,0.008643355,8.483306e-7,0.9820031,0.008164112,0.000347072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000005101923,0.0002404358,0.8828018,0.00002485874,0.00008652186,0.0003538011,0.002768686,0.00006764029,0.1136512],"genre_scores_gemma":[0.00002311259,0.000629635,0.9325678,0.00004208913,0.00002119395,0.00004985437,0.00005374892,0.0001257548,0.06648675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05392664,"threshold_uncertainty_score":0.999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05404078750584129,"score_gpt":0.3392595899787009,"score_spread":0.2852188024728596,"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."}}