{"id":"W4409526522","doi":"10.1007/978-981-96-1348-9_2","title":"Bone Tumor Detection and Classification Using GoogleNet Algorithm","year":2025,"lang":"en","type":"book-chapter","venue":"Smart innovation, systems and technologies","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003312643,0.0003544738,0.0003880299,0.001207651,0.0004701445,0.0002311049,0.0001494075,0.0005248116,0.000005359284],"category_scores_gemma":[0.0004086789,0.0003503666,0.00003504197,0.0006250886,0.0004038313,0.0002167089,0.0001243054,0.0004684132,0.00001004722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552843,"about_ca_system_score_gemma":0.0000673349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000025477,"about_ca_topic_score_gemma":0.000009534834,"domain_scores_codex":[0.9979481,0.00003671223,0.0007386118,0.0007967696,0.0002709547,0.0002088503],"domain_scores_gemma":[0.9984083,0.0001058716,0.0007310505,0.0004747614,0.0002588688,0.00002120594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001178489,0.00001396047,0.00004327431,0.0002624137,0.00001952755,0.000006716074,0.00002088496,0.00000122749,0.126317,0.6273088,0.0004371911,0.2455572],"study_design_scores_gemma":[0.001197819,0.0003304704,0.001308885,0.001474755,0.0001828414,0.001356019,0.001554218,0.05450396,0.08580473,0.08139127,0.7688829,0.002012173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08463504,0.01619391,0.2932613,0.008997108,0.0181119,0.01538342,0.001307088,0.02279853,0.5393117],"genre_scores_gemma":[0.8976074,0.001039946,0.00106042,0.0002069616,0.0001911296,0.0002145699,0.00004020096,0.00008894921,0.09955042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8129724,"threshold_uncertainty_score":0.9998949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05513866617409672,"score_gpt":0.2619200781161361,"score_spread":0.2067814119420394,"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."}}