{"id":"W4411055983","doi":"10.2139/ssrn.5282272","title":"Growth in AI Knowledge","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Knowledge management; Computer science; Business; Artificial intelligence","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004412662,0.0005178713,0.0006881048,0.0008500756,0.0001738861,0.0004574454,0.004596339,0.0004260203,0.00001091206],"category_scores_gemma":[0.0002181052,0.0005059844,0.0003936219,0.00094204,0.00007139435,0.0003371697,0.003995075,0.0115693,0.00005017971],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004757619,"about_ca_system_score_gemma":0.0178335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002395464,"about_ca_topic_score_gemma":0.001984553,"domain_scores_codex":[0.9934925,0.0005413985,0.0008423367,0.00107742,0.0004762095,0.003570096],"domain_scores_gemma":[0.9978881,0.0002249225,0.0003054262,0.001010878,0.0004163896,0.0001543188],"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":[0.00001473204,0.0004928577,0.002677616,0.000118746,0.0001775987,0.00003556263,0.0008830979,0.001276039,0.000005617727,0.8147858,0.0004395839,0.1790927],"study_design_scores_gemma":[0.0005223635,0.0001416859,0.001257487,0.0001559095,0.00001785837,0.000248557,0.00005005883,0.04204078,0.00003627838,0.9541233,0.0009349747,0.0004708037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005435213,0.01248079,0.965485,0.005438556,0.003624435,0.0004772108,0.000004618685,0.0002501045,0.006804058],"genre_scores_gemma":[0.9727418,0.006398129,0.0144056,0.0005659741,0.001377396,0.00006894574,0.000008577093,0.00004639562,0.0043872],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9673066,"threshold_uncertainty_score":0.9997392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097502710844207,"score_gpt":0.2760989157205002,"score_spread":0.2651238886120582,"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."}}