{"id":"W4230977378","doi":"10.35940/ijeat.a2084.109119","title":"Visual Modeling of Data using Convolutional Neural Networks","year":2019,"lang":"en","type":"article","venue":"International Journal of Engineering and Advanced Technology","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Normalization (sociology); Artificial intelligence; Artificial neural network; Feedforward neural network; Feed forward; Deep learning; Computer vision; Pattern recognition (psychology); Machine learning; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006174551,0.0009277318,0.0006506803,0.00152274,0.0002578498,0.001622313,0.001476761,0.0007794054,0.002492837],"category_scores_gemma":[0.002220442,0.0005634894,0.001358496,0.001551099,0.0004232323,0.001645803,0.0008507071,0.001333145,0.000998449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319804,"about_ca_system_score_gemma":0.0006481169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114309,"about_ca_topic_score_gemma":0.01708563,"domain_scores_codex":[0.9996294,0.00006257208,0.00003219211,0.0001110595,0.0001227409,0.00004204798],"domain_scores_gemma":[0.9995506,0.0001654525,0.00005210594,0.000085375,0.000127228,0.00001913174],"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":[0.0001117888,0.00004601468,0.001087027,0.0001574321,0.00009651003,0.0001521362,0.00007655028,0.8332692,0.006490348,0.01033205,0.003325106,0.1448558],"study_design_scores_gemma":[0.000001460632,0.000007504092,0.0001215383,0.000007498019,0.00000397212,0.00001776469,0.000004610452,0.9955432,0.0008574787,0.002724055,0.0007071478,0.000003780232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009197125,0.0006270844,0.985082,0.0002544984,0.00006715247,0.00005901904,0.0006776366,0.002505908,0.00152951],"genre_scores_gemma":[0.572974,0.002758899,0.4120874,0.0002913261,0.0001358371,0.0002651642,0.003139267,0.0004273491,0.007920701],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02114309,"threshold_uncertainty_score":0.04204005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170601043596542,"score_gpt":0.287120931749509,"score_spread":0.2700608273898548,"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."}}