{"id":"W2090427868","doi":"10.1038/nnano.2009.367","title":"Detecting rare cancer cells","year":2009,"lang":"en","type":"letter","venue":"Nature Nanotechnology","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Carbon nanotube; Photoacoustic imaging in biomedicine; Cancer; Cancer detection; Colloidal gold; Nanotechnology; Cancer cell; Nanoparticle; Materials science; Magnetic nanoparticles; Medicine; Optics; Internal medicine; Physics","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":[0.0003150213,0.0003900933,0.0003322854,0.0003382566,0.0005906139,0.0009968627,0.0006415515,0.003237654,0.00366483],"category_scores_gemma":[0.0009896241,0.0003059501,0.0002673755,0.0001421834,0.0005931273,0.0007840239,0.000576309,0.001608934,0.001853747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004023084,"about_ca_system_score_gemma":0.0001876379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002063593,"about_ca_topic_score_gemma":0.0005800599,"domain_scores_codex":[0.9997544,0.00004607356,0.00001191324,0.0000475371,0.00009611186,0.00004405823],"domain_scores_gemma":[0.9997401,0.000141203,0.000018246,0.0000257992,0.00003928292,0.00003536921],"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":[0.0005621637,0.0001227312,0.00253028,0.0005135682,0.00005832753,0.01152209,0.0004150384,0.0004089698,0.7116685,0.02979856,0.1088888,0.1335109],"study_design_scores_gemma":[0.00008504107,0.000286168,0.001062329,0.00004890824,0.00005977381,0.02255921,0.0002155144,0.00555002,0.6838459,0.008142347,0.2781079,0.0000369708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3015483,0.04837672,0.118746,0.2680381,0.02794091,0.0002688965,0.0005161229,0.00205953,0.2325056],"genre_scores_gemma":[0.8351191,0.009653362,0.04003475,0.03059268,0.004619259,0.0001660493,0.0002732795,0.0001378388,0.07940362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00366483,"threshold_uncertainty_score":0.01226002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003481829464660185,"score_gpt":0.2061011959339806,"score_spread":0.2026193664693204,"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."}}