{"id":"W4415951932","doi":"10.4108/eetinis.124.10405","title":"Few-Shot Classification Of Brain Cancer Images Using Meta-Learning Algorithms","year":2025,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Initialization; Metric (unit); Baseline (sea); Class (philosophy); Meta learning (computer science); Quality (philosophy); Deep learning; Multiclass classification","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":[],"consensus_categories":[],"category_scores_codex":[0.0005283306,0.000252449,0.0004502654,0.0003571053,0.0004583102,0.0001353603,0.000166248,0.0002628263,0.0001783808],"category_scores_gemma":[0.0001362872,0.000224456,0.0002023982,0.0009351122,0.0001647631,0.0001724946,0.000005615052,0.0006974057,0.00000365673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342236,"about_ca_system_score_gemma":0.00008717924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003528459,"about_ca_topic_score_gemma":0.00001336606,"domain_scores_codex":[0.9975566,0.0006309978,0.0007197806,0.0005358958,0.0002799016,0.0002768772],"domain_scores_gemma":[0.9985267,0.0006628566,0.000362275,0.0002616227,0.00009055356,0.00009602463],"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":[0.0004375729,0.0003797741,0.0001580051,0.00009411886,0.0006842619,0.000003727575,0.0002444739,0.6817697,0.1446018,0.004894278,0.001388089,0.1653442],"study_design_scores_gemma":[0.001178327,0.00022492,0.000150208,0.000307469,0.0007290942,0.00002116374,0.001093483,0.7182734,0.2460493,0.00004901427,0.0315125,0.0004111277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01341826,0.0007187724,0.9772026,0.001160394,0.004772555,0.001114017,0.0000510895,0.0001684579,0.001393835],"genre_scores_gemma":[0.9952744,0.0004501862,0.0000311759,0.0001268168,0.0002263159,0.0001898708,0.000004296097,0.00002349941,0.003673448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9818561,"threshold_uncertainty_score":0.915305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1774134298099673,"score_gpt":0.3375732850456676,"score_spread":0.1601598552357004,"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."}}