{"id":"W7057195256","doi":"","title":"Integrating Deep Learning and Radiomics in Differentiating Papillary Thyroid Microcarcinoma from Papillary Thyroid Carcinoma with Ultrasound Images","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NorQuest College","funders":"","keywords":"Thyroid carcinoma; Thyroid; Radiomics; Papillary carcinoma; Carcinoma; Radiation oncology; Ultrasound; Thyroid cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001217594,0.0006960831,0.000663329,0.002519818,0.0002472737,0.001263719,0.0004916525,0.0009667239,0.001042907],"category_scores_gemma":[0.003162168,0.0003646594,0.0007007806,0.0006771843,0.0002546723,0.001179266,0.001218023,0.0005801951,0.0004680117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188733,"about_ca_system_score_gemma":0.0004422221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003181689,"about_ca_topic_score_gemma":0.005599191,"domain_scores_codex":[0.9996051,0.00009710046,0.00005756502,0.00007749494,0.00007389156,0.00008892264],"domain_scores_gemma":[0.9994516,0.0002420808,0.00005086426,0.000037129,0.0001285227,0.0000897826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002260152,0.000694745,0.319429,0.0005613774,0.000453267,0.001871109,0.0002491861,0.02329054,0.03808527,0.0005313205,0.003276091,0.6092981],"study_design_scores_gemma":[0.0001329304,0.0006222709,0.09935863,0.0002050586,0.001086502,0.002716521,0.000658022,0.8690317,0.01978918,0.002499853,0.003779877,0.0001195322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410877,0.006031803,0.04713243,0.0006822405,0.0002258288,0.0002431189,0.0003705664,0.0006191729,0.003607203],"genre_scores_gemma":[0.9708816,0.00171515,0.02554462,0.0001721121,0.0001269305,0.00007573269,0.0006195602,0.00003826072,0.0008259952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003181689,"threshold_uncertainty_score":0.006439328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03778302146297427,"score_gpt":0.3871034978815057,"score_spread":0.3493204764185315,"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."}}