{"id":"W2962719937","doi":"","title":"SELF-INFORMED NEURAL NETWORK STRUCTURE LEARNING","year":2015,"lang":"en","type":"article","venue":"International Conference on Learning Representations","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Artificial intelligence; Classifier (UML); Artificial neural network; Cognitive neuroscience of visual object recognition; Visualization; Pattern recognition (psychology); Machine learning; Task (project management); Similarity (geometry); Object (grammar); Image (mathematics)","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":[0.0003134998,0.0001818733,0.0001441409,0.0001877215,0.0003194444,0.0006441672,0.001010092,0.00008243723,0.0001580568],"category_scores_gemma":[0.00119126,0.0001764973,0.00006092328,0.0003777897,0.00004119168,0.0008435655,0.0002404665,0.0008147815,0.0002526475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211262,"about_ca_system_score_gemma":0.0002504477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005857461,"about_ca_topic_score_gemma":0.00002421261,"domain_scores_codex":[0.9979314,0.0002847727,0.0003181376,0.0004883841,0.0006877051,0.0002896438],"domain_scores_gemma":[0.9983962,0.0002642817,0.0002790391,0.0004027308,0.0004688669,0.0001888833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004159052,0.00007920656,0.08234302,0.000008843573,0.00009685988,0.0000206423,0.006271688,0.3504707,0.0001946072,0.5274937,0.005111225,0.02786794],"study_design_scores_gemma":[0.0005020733,0.0001431816,0.01514921,0.00002257025,0.000007684496,0.00003190929,0.0004894131,0.9101812,0.00003750224,0.004580713,0.06862421,0.0002303665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1382088,0.0001119602,0.2609904,0.04373213,0.006768119,0.0009018717,0.00002565332,0.004832135,0.544429],"genre_scores_gemma":[0.9797304,0.00002396014,0.0152715,0.0002161196,0.0003468178,0.00002238698,0.0002848251,0.00001441999,0.004089561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8415216,"threshold_uncertainty_score":0.719735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06063609321300034,"score_gpt":0.3507487723009097,"score_spread":0.2901126790879094,"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."}}