{"id":"W4362670298","doi":"10.54097/hset.v40i.6589","title":"Nanotechnology in Cancer Diagnostics and Therapeutics","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nanotechnology; Cancer; Applications of nanotechnology; Nanomedicine; Cancer therapy; Nanoparticle; Medicine; Risk analysis (engineering); Computer science; Materials science; Internal medicine","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":[0.00251414,0.0004877713,0.0008145905,0.001306104,0.001008083,0.002949771,0.0007006874,0.003394111,0.004471316],"category_scores_gemma":[0.001570972,0.0002683316,0.0003428145,0.0008342826,0.002987528,0.002987562,0.001872973,0.004306054,0.002169613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100231,"about_ca_system_score_gemma":0.002570099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099666,"about_ca_topic_score_gemma":0.001831278,"domain_scores_codex":[0.998714,0.0004271531,0.0000706674,0.0001559592,0.0005068076,0.0001253908],"domain_scores_gemma":[0.9990153,0.0004140451,0.00009452903,0.00007277207,0.0002453593,0.0001578932],"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":[0.0001011054,0.0001438571,0.0009619773,0.002627865,0.00005376886,0.0005447673,0.0005818467,0.001469986,0.01559092,0.3730022,0.1055651,0.4993566],"study_design_scores_gemma":[0.000009226559,0.0001425055,0.0004180667,0.001048387,0.00001084259,0.0007638711,0.0002002762,0.0003978495,0.003217775,0.06824305,0.9255217,0.00002636742],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001601216,0.914308,0.006516303,0.0419616,0.004766707,0.00003393547,0.00005304537,0.00008291921,0.03067638],"genre_scores_gemma":[0.03995477,0.9074581,0.009810772,0.01523543,0.005805768,0.00008251324,0.0000671837,0.000044973,0.0215405],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004471316,"threshold_uncertainty_score":0.01523829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008445271023247283,"score_gpt":0.2688118926949219,"score_spread":0.2603666216716746,"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."}}