{"id":"W3176022184","doi":"10.5281/zenodo.4771457","title":"Development of an image segmentation model based on a convolutional neural network","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Computational Techniques in Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Segmentation; Image (mathematics); Image segmentation; Pattern recognition (psychology); Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003422366,0.00007302641,0.00006889587,0.00008664708,0.000697932,0.0002106045,0.0006672792,0.00002120673,0.0001567723],"category_scores_gemma":[0.00007657005,0.00008160971,0.00002202538,0.0004994923,0.00004668103,0.0004826303,0.0004050825,0.00009300488,0.00008003003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009303186,"about_ca_system_score_gemma":0.00001690386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.002141e-7,"about_ca_topic_score_gemma":3.422697e-8,"domain_scores_codex":[0.9989191,0.00007136139,0.0001805114,0.0002754345,0.0003704443,0.0001830918],"domain_scores_gemma":[0.9991845,0.00001761574,0.00005887051,0.0002621383,0.0004011218,0.00007576391],"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":[0.000008046467,0.00006834608,2.585006e-7,0.00001235415,0.000003849099,0.000005859206,0.0003485311,0.8626407,0.01224543,0.0234775,0.00102686,0.1001623],"study_design_scores_gemma":[0.0001467972,0.00005432067,0.0000820014,0.00001508174,9.973852e-7,0.00001712732,0.00002500545,0.9804558,0.005986029,0.001716546,0.01141106,0.00008926816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006557405,0.0000065918,0.9878382,0.0001268185,0.0000455047,0.00008645566,0.000008523279,0.0003679922,0.004962517],"genre_scores_gemma":[0.313507,0.000001262163,0.6859199,0.0001479193,0.00002713038,6.378831e-8,0.0002636695,0.0001048592,0.00002821217],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3069496,"threshold_uncertainty_score":0.5367999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03683239360928359,"score_gpt":0.2741733596755391,"score_spread":0.2373409660662555,"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."}}