{"id":"W4226204139","doi":"10.2139/ssrn.3868599","title":"InnoVAE: Generative AI for Understanding Patents and Innovation","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Generative grammar; Business; Knowledge management; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.001397675,0.000112388,0.0001100838,0.0004736979,0.001130517,0.0001706107,0.00013349,0.00002775943,0.0001200639],"category_scores_gemma":[0.0000836571,0.00009868466,0.00003396149,0.0008568234,0.00002254516,0.0005779779,0.0001069343,0.0008773623,0.000008716264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005837039,"about_ca_system_score_gemma":0.0002246295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003922996,"about_ca_topic_score_gemma":0.00005124072,"domain_scores_codex":[0.9985064,0.00001841048,0.0002354317,0.0001552711,0.0002012583,0.0008832839],"domain_scores_gemma":[0.9995761,0.00001870059,0.0001766465,0.00005190841,0.0001717066,0.000004940648],"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":[0.0002104198,0.00004093573,0.001041373,0.00001737266,0.00009099751,0.000001457993,0.00009689463,0.0001148522,0.0007514408,0.9860362,0.002217207,0.009380782],"study_design_scores_gemma":[0.001225395,0.0001744979,0.0000644297,0.000009503895,0.00003513589,0.00007639995,0.004024788,0.006920684,0.00005574204,0.9678231,0.01937259,0.0002177642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6327899,0.001017109,0.3503175,0.007915059,0.001583946,0.0008471587,0.000008639984,0.00009257138,0.005428125],"genre_scores_gemma":[0.9942614,0.00006317093,0.00003223698,0.003699954,0.0006008196,0.00002382994,0.00003404785,0.00002211879,0.001262374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3614716,"threshold_uncertainty_score":0.8695136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1499595182323307,"score_gpt":0.25553120987386,"score_spread":0.1055716916415293,"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."}}