{"id":"W4416341123","doi":"10.20944/preprints202511.1133.v1","title":"Pulmonary Medical Image Recognition Based on Deep Learning","year":2025,"lang":"","type":"preprint","venue":"Preprints.org","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Convolutional neural network; Transfer of learning; Generalization; Deep learning; Pattern recognition (psychology); Feature extraction; Feature (linguistics); Artificial neural network","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":[0.0004474577,0.0006503202,0.000505593,0.001055551,0.0001183637,0.0005128512,0.0007383839,0.0006149251,0.001505929],"category_scores_gemma":[0.001202625,0.0002321793,0.000490404,0.0006740961,0.0002081294,0.0006477013,0.0006080632,0.0006579188,0.0008276709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004967348,"about_ca_system_score_gemma":0.0004532576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004999974,"about_ca_topic_score_gemma":0.006240588,"domain_scores_codex":[0.999736,0.00003661276,0.00001955238,0.00007540488,0.00009092069,0.00004147955],"domain_scores_gemma":[0.999724,0.00007927464,0.0000374222,0.00004486461,0.00009752826,0.00001692913],"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":[0.0002727897,0.0002060864,0.005237139,0.0001807572,0.0001239661,0.0002214126,0.00003398537,0.1287026,0.03260868,0.00211043,0.006484966,0.8238171],"study_design_scores_gemma":[0.000007879289,0.00004171834,0.001640708,0.00001137924,0.00001578744,0.00009454566,0.000005540897,0.9872525,0.008648815,0.001188587,0.001082997,0.000009488118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09664939,0.002563823,0.8884033,0.000581259,0.0002042046,0.0001817925,0.001044481,0.005779354,0.004592473],"genre_scores_gemma":[0.8026245,0.001288209,0.1870768,0.0003819198,0.0001482198,0.0001467055,0.002688961,0.00009990584,0.005544653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004999974,"threshold_uncertainty_score":0.009941697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07345694805656036,"score_gpt":0.3648571375680669,"score_spread":0.2914001895115066,"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."}}