{"id":"W7151286070","doi":"10.1109/icosec67334.2025.11459525","title":"Integrated Microfluidic Lab on a Chip Analysis for Biomarker Profiling in Glioblastoma and Related Systemic Tumors","year":2025,"lang":"","type":"article","venue":"","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Glioblastoma; Microfluidics; Profiling (computer programming); Microfluidic chip; Biomarker; Chip","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":[0.0002973228,0.0003142611,0.0003923227,0.0004158884,0.0001996775,0.0007623935,0.0004499639,0.000488748,0.0008468191],"category_scores_gemma":[0.0003719277,0.000240633,0.0004609301,0.0003404869,0.0001798465,0.0003357353,0.0005080076,0.0004070049,0.0003067553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437839,"about_ca_system_score_gemma":0.0005793565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058166,"about_ca_topic_score_gemma":0.001986686,"domain_scores_codex":[0.9997384,0.00002938449,0.00001278007,0.00007225244,0.00009460926,0.00005255494],"domain_scores_gemma":[0.9998228,0.00005560023,0.00003814397,0.00002382531,0.00004332683,0.00001633441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002553871,0.00009450882,0.00178685,0.0001470158,0.00005303492,0.0001245441,0.00004629164,0.001548615,0.9696565,0.0004724702,0.0008206756,0.02499413],"study_design_scores_gemma":[0.00002025628,0.0003070454,0.005146536,0.00001139462,0.00009712717,0.0002129644,0.00003539968,0.02450827,0.9660645,0.00022737,0.003336267,0.00003301495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8808815,0.009201971,0.1013693,0.0006657226,0.0003942715,0.000157055,0.001775418,0.001281879,0.00427285],"genre_scores_gemma":[0.9328266,0.002563769,0.06006183,0.0004019694,0.00007303218,0.0001781252,0.0005302888,0.00007721802,0.003287237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001058166,"threshold_uncertainty_score":0.00394547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513291365649688,"score_gpt":0.2825655448051679,"score_spread":0.267432631148671,"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."}}