{"id":"W4409234145","doi":"10.54985/peeref.2504a2766041","title":"Nanotechnology in Medicine: Innovations, Applications, and Future Prospects","year":2025,"lang":"en","type":"article","venue":"","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"George Brown College","funders":"","keywords":"Nanotechnology; Data science; Engineering ethics; Engineering; Computer science; Materials science","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":[0.00007450905,0.00007005494,0.0001029026,0.0004897778,0.0000466874,0.000005891286,0.0001317362,0.000157588,0.00002400643],"category_scores_gemma":[0.00001519596,0.00006258226,0.000005035543,0.001654488,0.0001236449,0.00003572775,0.00003527462,0.0002342505,0.00001160287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003232734,"about_ca_system_score_gemma":0.00001702329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006858783,"about_ca_topic_score_gemma":0.00004545695,"domain_scores_codex":[0.9995188,0.000003458008,0.0001498181,0.0001369401,0.0000408497,0.0001501275],"domain_scores_gemma":[0.9996977,0.00002505465,0.000007475266,0.0002247029,0.0000285946,0.00001648741],"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":[9.570064e-7,0.00001228967,0.001921462,0.00003880226,0.000008276395,5.647764e-7,0.000009240629,0.000007124334,0.01144291,0.881893,0.005650394,0.09901492],"study_design_scores_gemma":[0.0006490232,0.00001892197,0.004987685,0.00002654317,0.000005071602,0.000006804813,0.0003264861,0.001479696,0.01770255,0.104851,0.8697931,0.0001531092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2764785,0.03201492,0.2690698,0.2626142,0.0003768796,0.005949454,0.00002154911,0.006971239,0.1465035],"genre_scores_gemma":[0.9906086,0.002561007,0.004157105,0.0002546179,0.00007338709,0.00146777,0.00001451875,0.00001224789,0.0008506894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8641427,"threshold_uncertainty_score":0.2552031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0046595809098865,"score_gpt":0.2568304965275106,"score_spread":0.2521709156176241,"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."}}