{"id":"W4239019935","doi":"10.32920/ryerson.14647995","title":"Synthesis and characterization of theranostic agents for photoacoustic imaging and therapy.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Vaporization; PLGA; Materials science; Nanoparticle; Particle (ecology); Nanotechnology; Irradiation; Photoacoustic imaging in biomedicine; Fluence; Particle size; Laser; Biomedical engineering; Chemical engineering; Chemistry; Optics; Organic chemistry; 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":[0.0003410162,0.0003122977,0.0001877047,0.0002607161,0.0001590238,0.0002497218,0.0001480841,0.0003606552,0.000908385],"category_scores_gemma":[0.0004384101,0.0001400489,0.0001440564,0.0001691586,0.0001877813,0.000247423,0.0001098276,0.0003595736,0.0005630468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003052881,"about_ca_system_score_gemma":0.0003217766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003695044,"about_ca_topic_score_gemma":0.0005505609,"domain_scores_codex":[0.9998679,0.00002085831,0.00001214327,0.0000225419,0.00005961578,0.0000168803],"domain_scores_gemma":[0.999801,0.00004712781,0.00005817554,0.00002308482,0.00004657565,0.00002407753],"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":[0.00001693596,0.00001442098,0.00005267514,0.00006278127,0.000003610849,0.00002104617,0.00001139597,0.00008841294,0.995153,0.0001160701,0.00004457097,0.004415179],"study_design_scores_gemma":[0.000005787106,0.00007294107,0.0003844626,0.00000626829,0.00001055197,0.0001053936,0.000003737919,0.0003423817,0.9917802,0.00003334041,0.007251632,0.000003256257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8076769,0.03239369,0.1444795,0.0005019455,0.0001639069,0.001678821,0.001293413,0.000422417,0.01138939],"genre_scores_gemma":[0.85978,0.007639532,0.1201959,0.0003162755,0.00004337281,0.0007936715,0.001412061,0.000123447,0.009695815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000908385,"threshold_uncertainty_score":0.003038824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218268803561476,"score_gpt":0.2192351286203914,"score_spread":0.2070524405847766,"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."}}