{"id":"W4211047491","doi":"10.36227/techrxiv.19137518","title":"Sparse Convolutional Neural Networks for Medical Image Analysis","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Inference; Voxel; Pattern recognition (psychology); Skull; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008336981,0.0009298832,0.0006828933,0.001246081,0.0002292217,0.0008964314,0.00116034,0.0008766456,0.005023628],"category_scores_gemma":[0.002934224,0.000601262,0.0008155805,0.001700825,0.0005364032,0.001165846,0.001112455,0.001439327,0.001943577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009862995,"about_ca_system_score_gemma":0.00118994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00672113,"about_ca_topic_score_gemma":0.008846072,"domain_scores_codex":[0.9995798,0.00009011145,0.00002519608,0.00008617376,0.0001847837,0.00003387481],"domain_scores_gemma":[0.9993675,0.0002624784,0.00009204689,0.0001104389,0.0001399777,0.00002754923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001852941,0.00006225729,0.001411027,0.0007486912,0.0002512563,0.0002381812,0.00008346693,0.2829148,0.02347095,0.03025138,0.02988263,0.6305001],"study_design_scores_gemma":[0.00001482125,0.00002488867,0.0006471807,0.00005325232,0.00002759239,0.0001241516,0.00001484558,0.9578373,0.005346368,0.02501897,0.01087004,0.00002057497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004841361,0.00338785,0.985158,0.0008442843,0.000107524,0.00005509122,0.0006724799,0.002680953,0.002252451],"genre_scores_gemma":[0.2350272,0.01026698,0.7400515,0.0006657389,0.0003396081,0.0003724098,0.003930908,0.0007413246,0.008604238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00672113,"threshold_uncertainty_score":0.01680571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394205101834982,"score_gpt":0.2658912126915114,"score_spread":0.2519491616731616,"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."}}