{"id":"W4409723136","doi":"10.61091/jcmcc126-04","title":"An automated multimodal medical image fusion framework for Alzheimer detection using deep learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Deep learning; Image fusion; Computer science; Fusion; Image (mathematics); Computer vision; Pattern recognition (psychology); Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001755005,0.0002419202,0.0005034303,0.0002948596,0.0007736366,0.0003055622,0.0003693178,0.0003199339,0.00001010114],"category_scores_gemma":[0.004100598,0.0002272508,0.0001625288,0.0004983056,0.0001216784,0.0003076521,0.0001036255,0.0007673561,0.000001181972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017791,"about_ca_system_score_gemma":0.0001530043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000547867,"about_ca_topic_score_gemma":3.322994e-7,"domain_scores_codex":[0.9973839,0.000322896,0.000998749,0.0003096696,0.0006780776,0.000306686],"domain_scores_gemma":[0.9964747,0.001696512,0.000975435,0.0001937393,0.0004488881,0.0002107686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004706644,0.001094608,0.00005671889,0.0002210567,0.00009002448,0.00002027822,0.001069601,0.0003945372,0.2995882,0.669852,0.00001536179,0.02712691],"study_design_scores_gemma":[0.002668151,0.000520991,0.0000651236,0.0002942705,0.0001143127,0.00009345599,0.0003407051,0.7178908,0.07853627,0.1991547,0.000121769,0.0001994433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6599198,0.00006066448,0.3268968,0.0001129743,0.01240788,0.0003166659,6.165707e-7,0.0001774659,0.0001071569],"genre_scores_gemma":[0.9867534,0.00001531101,0.01223656,0.00006383716,0.0008919979,0.000003793019,6.134697e-7,0.00003295985,0.000001556783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7174962,"threshold_uncertainty_score":0.9267018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673515679067003,"score_gpt":0.3336844864998668,"score_spread":0.3069493297091967,"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."}}