{"id":"W4389569092","doi":"10.21203/rs.3.rs-3692500/v1","title":"Meta Generative Image and Text Data Augmentation Optimization","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Hokkaido University; Canadian Institute for Advanced Research","keywords":"Generative grammar; Image (mathematics); Computer science; Generative model; Artificial intelligence; Natural language processing; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001128297,0.001423658,0.001158036,0.000750369,0.000322344,0.001064917,0.001866127,0.001214083,0.004805211],"category_scores_gemma":[0.003597894,0.0005621623,0.00124228,0.0008268929,0.001328041,0.001795705,0.002423415,0.002326414,0.001417254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008721112,"about_ca_system_score_gemma":0.0008271624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529764,"about_ca_topic_score_gemma":0.002285049,"domain_scores_codex":[0.9993466,0.0001999525,0.00002764453,0.0001993398,0.000148043,0.00007844304],"domain_scores_gemma":[0.9985772,0.0007794765,0.00009079064,0.0003315095,0.0001505738,0.00007032369],"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":[0.0002583311,0.0001625285,0.00109713,0.0001685611,0.00007066644,0.0001753424,0.0001078194,0.7836952,0.009734815,0.02272334,0.007354653,0.1744516],"study_design_scores_gemma":[0.000008691703,0.00002143288,0.00005593046,0.000006151162,0.000004911169,0.00002446685,0.000006246677,0.9893583,0.002519472,0.007071008,0.0009173173,0.000005971932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01512684,0.000344992,0.9788582,0.000329532,0.0001040521,0.0000677854,0.0002916322,0.002162532,0.002714507],"genre_scores_gemma":[0.6311246,0.0003219783,0.3543658,0.0006531677,0.0001618126,0.000459055,0.001605324,0.0008315591,0.01047676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004805211,"threshold_uncertainty_score":0.01607502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3406723437218783,"score_gpt":0.4736635514287049,"score_spread":0.1329912077068266,"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."}}