{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007342889,0.0007661369,0.001257758,0.001891644,0.0009825733,0.00460444,0.001527872,0.00475715,0.007945279],"category_scores_gemma":[0.003549725,0.0002833823,0.0007680254,0.001675233,0.004198692,0.007455893,0.001734671,0.003093709,0.001714802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057223,"about_ca_system_score_gemma":0.005423087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018352,"about_ca_topic_score_gemma":0.003781501,"domain_scores_codex":[0.9983996,0.0005955808,0.0001270771,0.0001827727,0.0004751668,0.0002198355],"domain_scores_gemma":[0.9952347,0.002642413,0.0003865579,0.0002011163,0.0009913841,0.0005439144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005426609,0.0004548348,0.00263973,0.005977422,0.00008223515,0.0006135101,0.0005797368,0.00108012,0.00691956,0.1243768,0.0337777,0.8229557],"study_design_scores_gemma":[0.0001047626,0.001158701,0.004156112,0.007646346,0.0001255116,0.004048668,0.002510684,0.002106156,0.004029174,0.1546976,0.8192876,0.0001286179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002221453,0.9628317,0.002448775,0.02446278,0.001164349,0.00001579378,0.00002980603,0.00004064509,0.006784662],"genre_scores_gemma":[0.03284862,0.9475232,0.006160458,0.005738472,0.004183814,0.00005004709,0.00004957112,0.00002041014,0.003425366],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007945279,"threshold_uncertainty_score":0.03883338,"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."}}