{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02612716,0.001811524,0.001688393,0.001791121,0.001410655,0.004517806,0.004343537,0.002722162,0.0327243],"category_scores_gemma":[0.1019552,0.0008062384,0.002503708,0.001659141,0.001454305,0.004329084,0.003275335,0.004948542,0.008902161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003190435,"about_ca_system_score_gemma":0.005601677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008599133,"about_ca_topic_score_gemma":0.007388547,"domain_scores_codex":[0.9837917,0.01022666,0.0008105366,0.001482792,0.003263305,0.0004249665],"domain_scores_gemma":[0.9499636,0.0317255,0.00115465,0.007617405,0.009172646,0.0003661335],"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":[0.000358835,0.0002798877,0.00476903,0.001795776,0.0004965566,0.0003440902,0.001162028,0.2617027,0.001229839,0.3835488,0.1087476,0.2355649],"study_design_scores_gemma":[0.0001289321,0.0002022256,0.00113005,0.001541612,0.0001695345,0.0002147639,0.0006470425,0.4430505,0.003426614,0.2885761,0.2607843,0.000128391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0105386,0.001715838,0.8849462,0.005602731,0.001370819,0.001369606,0.005508796,0.003323091,0.08562436],"genre_scores_gemma":[0.2592352,0.002825038,0.6617625,0.003502852,0.0004243901,0.004407781,0.01568015,0.00288019,0.04928193],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0327243,"threshold_uncertainty_score":0.1381752,"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."}}