{"id":"W2896180260","doi":"10.1039/c8cc05851b","title":"Azacalixphyrins as NIR photoacoustic contrast agents","year":2018,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Photoacoustic imaging in biomedicine; Contrast (vision); High contrast; Materials science; Range (aeronautics); Contrast enhancement; Excitation; Chemistry; Nanotechnology; Optics; Medicine; Magnetic resonance imaging; Composite material; Physics; Radiology","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":[0.00007753231,0.0001457473,0.000150091,0.00004090064,0.000162809,0.00003603215,0.000813783,0.00007725834,0.0002319347],"category_scores_gemma":[0.0001346953,0.0001544309,0.000057402,0.0002019356,0.0003808131,0.00008262471,0.0001533248,0.0003070057,0.0005024212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009237236,"about_ca_system_score_gemma":0.00002908824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002388437,"about_ca_topic_score_gemma":0.000004285963,"domain_scores_codex":[0.9992042,0.00001802915,0.0002180146,0.000136878,0.0001193376,0.0003035005],"domain_scores_gemma":[0.9984637,0.0001933372,0.0000238041,0.001109331,0.00007416611,0.0001355908],"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":[0.000008396179,0.0001541028,0.0001610958,0.00004141151,0.0001069737,0.000002912956,0.0007731781,0.00005906665,0.9710385,0.001962778,0.02116524,0.004526337],"study_design_scores_gemma":[0.001072248,0.00003444378,0.000524704,0.000143486,0.000150631,0.00008808979,0.0004849032,0.3951284,0.4946943,0.003746376,0.1031591,0.0007733738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5395922,0.001094671,0.04075729,0.0006978264,0.0005219128,0.0004915905,0.0001219025,0.001690895,0.4150317],"genre_scores_gemma":[0.9961485,0.0001424171,0.002971629,0.0003554672,0.0001103257,0.00004447484,0.00005201962,0.00003572741,0.0001394864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4763442,"threshold_uncertainty_score":0.6457775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038085827381468,"score_gpt":0.2692130374620481,"score_spread":0.2488321791882334,"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."}}