{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004303806,0.001466831,0.001203535,0.002098956,0.0009328253,0.003301815,0.002921417,0.001445175,0.02325656],"category_scores_gemma":[0.01822542,0.0004432191,0.002227299,0.001839452,0.0008562796,0.002863094,0.002162911,0.002224229,0.006928296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092249,"about_ca_system_score_gemma":0.002523777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005478474,"about_ca_topic_score_gemma":0.003329251,"domain_scores_codex":[0.9965869,0.0014537,0.0001831794,0.0005781297,0.001013218,0.0001847676],"domain_scores_gemma":[0.9947321,0.003047971,0.0003699395,0.0007038221,0.001053184,0.0000928229],"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":[0.00004516318,0.00007176253,0.002062454,0.0004145523,0.0002443572,0.000207371,0.0002794231,0.2150734,0.0007825881,0.6631035,0.0274422,0.0902733],"study_design_scores_gemma":[0.00001716623,0.00004588221,0.0004903292,0.000168963,0.00007316114,0.0002033088,0.000150092,0.4764984,0.000655125,0.4639261,0.05773214,0.00003935532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003102964,0.001011177,0.959484,0.001378141,0.0001686188,0.0002794597,0.001860915,0.0007676452,0.03194704],"genre_scores_gemma":[0.2989957,0.005275009,0.6374942,0.001223773,0.0004898245,0.002440246,0.008955579,0.001203588,0.04392198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02325656,"threshold_uncertainty_score":0.07780099,"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."}}