{"id":"W4235605319","doi":"10.4018/978-1-60566-663-1.ch014","title":"Model Validation","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Process (computing); Bayesian probability; Key (lock); Sensitivity (control systems); Artificial intelligence; Machine learning; Management science; Data science; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0001869391,0.0002278012,0.0002629496,0.00002497751,0.0003772735,0.0001046892,0.0002803745,0.0006691194,0.00008389504],"category_scores_gemma":[0.00001873629,0.0002464018,0.0002146435,0.00001690632,0.0001875604,0.00005825728,0.00004180289,0.0002230026,0.0002584584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636101,"about_ca_system_score_gemma":0.0003440577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003127586,"about_ca_topic_score_gemma":0.001054273,"domain_scores_codex":[0.9985824,0.00002630935,0.0002137469,0.000297341,0.0005496363,0.0003305154],"domain_scores_gemma":[0.9993693,0.00002257188,0.0001477544,0.0001770478,0.0001118665,0.0001714074],"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":[0.000008362396,0.000003480967,0.000001241276,0.000002074184,0.00001487533,0.000005873963,0.000969955,0.00002007382,6.041204e-7,0.9583074,0.01027045,0.03039556],"study_design_scores_gemma":[0.00007684717,0.00002219143,0.000003468676,0.00003963786,0.00003990956,5.5288e-7,0.0000659396,0.00004166921,0.000001717933,0.8933433,0.1061056,0.0002591836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001205665,0.0003399099,0.00007871278,0.000256643,0.0004340354,0.0002691606,0.00003685485,0.0002018116,0.9982623],"genre_scores_gemma":[0.1890121,0.00005775443,0.000196293,0.001003297,0.001891036,0.000007006065,0.000009031147,0.00002607716,0.8077974],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1904649,"threshold_uncertainty_score":0.9999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04036966758674115,"score_gpt":0.2936173710117367,"score_spread":0.2532477034249955,"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."}}