{"id":"W2059806537","doi":"10.1158/1538-7445.am2013-3920","title":"Abstract 3920: In vivo tyrosinase reporter gene imaging with multispectral photoacoustic technology.","year":2013,"lang":"en","type":"article","venue":"Cancer Research","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; FujiFilm VisualSonics (Canada)","funders":"","keywords":"Tyrosinase; Melanin; In vivo; Photoacoustic imaging in biomedicine; Reporter gene; Chemistry; Gene expression; Biomedical engineering; Pathology; Materials science; Gene; Medicine; Biology; Optics; Biochemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006031811,0.0009676578,0.0003349268,0.0007106789,0.0001879139,0.0003611899,0.0006909773,0.000643878,0.004340119],"category_scores_gemma":[0.0001345468,0.0004760848,0.0004678386,0.0004063734,0.0003131829,0.0004467966,0.000341061,0.0008249454,0.002220241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000580319,"about_ca_system_score_gemma":0.0002452829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085149,"about_ca_topic_score_gemma":0.001433192,"domain_scores_codex":[0.9997566,0.00003442023,0.00001682506,0.00007473704,0.00007427702,0.00004315189],"domain_scores_gemma":[0.9998592,0.00002807084,0.00004555747,0.00001381229,0.00001809862,0.0000352524],"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":[0.00003636264,0.00001346757,0.00001337153,0.00002175213,0.000001470398,0.00001621072,0.000004691155,0.00002587271,0.9989735,0.00006421507,0.0001379356,0.0006912217],"study_design_scores_gemma":[0.00001667016,0.0001093231,0.0004876466,0.000004960284,0.000007425249,0.0001918514,0.000004764044,0.0009391052,0.9939548,0.00002967096,0.004249063,0.000004603268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5968398,0.007603424,0.3592612,0.00151848,0.0006150274,0.001003512,0.009272818,0.00470024,0.01918545],"genre_scores_gemma":[0.6946705,0.00697881,0.2175484,0.0004267008,0.0001725156,0.001275884,0.01648154,0.000892923,0.06155273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004340119,"threshold_uncertainty_score":0.0145191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706201286235175,"score_gpt":0.2958231212567569,"score_spread":0.2787611083944052,"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."}}