{"id":"W4410502117","doi":"10.3390/analytics4020014","title":"Analytical Modeling of Ancillary Items","year":2025,"lang":"en","type":"article","venue":"Analytics","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science","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":[0.001785048,0.001178771,0.001246042,0.002128922,0.0008673245,0.00388429,0.003222388,0.003372756,0.0088648],"category_scores_gemma":[0.005827972,0.000869662,0.00149604,0.003025448,0.001181303,0.003244278,0.001336334,0.001872866,0.002163569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416965,"about_ca_system_score_gemma":0.002266436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01839574,"about_ca_topic_score_gemma":0.007259379,"domain_scores_codex":[0.9988852,0.0002785136,0.0000608482,0.0002154133,0.0003738259,0.0001862747],"domain_scores_gemma":[0.9973915,0.001405375,0.0003818953,0.0001377273,0.0005826024,0.0001008902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001991784,0.00004698244,0.0007371692,0.0001209062,0.00002457307,0.0002230562,0.0001015742,0.8367847,0.0008196353,0.1492471,0.002478141,0.0093963],"study_design_scores_gemma":[0.000003967416,0.00001372763,0.000213662,0.00002726657,0.00001095028,0.00005244968,0.0000262958,0.9665051,0.000210324,0.02874307,0.004179397,0.00001371631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05540614,0.004901242,0.8199826,0.003593317,0.0004829707,0.0002321521,0.002415332,0.0005070108,0.1124793],"genre_scores_gemma":[0.8139011,0.01001038,0.08182439,0.0004885278,0.000584116,0.0005029914,0.002028448,0.0002611701,0.09039891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01839574,"threshold_uncertainty_score":0.03657734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1840654986076842,"score_gpt":0.4148952595791453,"score_spread":0.2308297609714611,"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."}}