{"id":"W4414344009","doi":"10.4018/979-8-3373-2474-6.ch008","title":"Enhancing Predictive Analysis with Large Language Models in the Digital Innovation World","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"George Brown College","funders":"","keywords":"Generative grammar; Transformative learning; Relevance (law); Software deployment; Deep learning; Artificial neural network; Model-driven architecture","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":[0.005916244,0.0009195362,0.0006081794,0.001212259,0.0006469415,0.004435506,0.001501314,0.00125837,0.005018075],"category_scores_gemma":[0.02824966,0.0005174845,0.001064486,0.001298876,0.001733544,0.00794018,0.003344689,0.003180988,0.002060379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428703,"about_ca_system_score_gemma":0.001555148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927582,"about_ca_topic_score_gemma":0.002958074,"domain_scores_codex":[0.9968539,0.002018346,0.00008507648,0.0003974806,0.0005675383,0.00007769511],"domain_scores_gemma":[0.9738012,0.02351626,0.0003905699,0.001531366,0.0005877226,0.0001729358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001899656,0.0002064058,0.003073135,0.0006937696,0.0001072185,0.0003165645,0.003748729,0.1769104,0.01045294,0.2816173,0.01017494,0.5125086],"study_design_scores_gemma":[0.00001840343,0.00007168263,0.0004065289,0.000121448,0.00003603027,0.0001360798,0.0005342672,0.6629941,0.006273304,0.3013083,0.02804702,0.00005283238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01044162,0.0005226076,0.9786208,0.001477908,0.00007088931,0.0000672983,0.0001603425,0.002585012,0.006053676],"genre_scores_gemma":[0.2720298,0.001327548,0.7164168,0.0007098978,0.0001624624,0.0002487897,0.0007754016,0.0009274991,0.007401687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005916244,"threshold_uncertainty_score":0.03128844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272893684346337,"score_gpt":0.2303953239660263,"score_spread":0.2176663871225629,"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."}}