{"id":"W1603068298","doi":"","title":"Modelling high frequency acoustic backscatter response from nonnucleated biological specimens","year":2008,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Backscatter (email); Transducer; Acoustics; Materials science; Seawater; Ultrasound; High frequency ultrasound; Scattering; Ultrasonic sensor; Optics; Geology; Oceanography; Physics; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002698093,0.0002754406,0.0002273945,0.0001769549,0.00007596732,0.0002601353,0.0003295596,0.0005197201,0.0006971011],"category_scores_gemma":[0.0006941506,0.0002039519,0.0003771294,0.0001617448,0.0002127108,0.0002898896,0.0001612087,0.0002018009,0.0003486377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965414,"about_ca_system_score_gemma":0.0002636251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085274,"about_ca_topic_score_gemma":0.001787051,"domain_scores_codex":[0.9998882,0.0000164384,0.00000507797,0.00001946659,0.00005696663,0.00001385254],"domain_scores_gemma":[0.9997724,0.0001195578,0.00002289557,0.00002345153,0.00004926458,0.00001253705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001736883,0.00005766843,0.005717372,0.0002139334,0.00003716932,0.0006594693,0.0002907472,0.5705858,0.4050165,0.001245588,0.0001833429,0.01581869],"study_design_scores_gemma":[0.000008756073,0.0001498395,0.006421421,0.000009391969,0.00001763219,0.000247952,0.00008568003,0.9498662,0.04228425,0.0003801441,0.0005102956,0.00001843373],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8257793,0.0002130122,0.1714292,0.00004913846,0.00002256495,0.00003605773,0.0001317092,0.0001495373,0.002189467],"genre_scores_gemma":[0.9789557,0.0002461556,0.01779036,0.00001970785,0.000004722694,0.00003210819,0.0001914873,0.00004067435,0.002719098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002085274,"threshold_uncertainty_score":0.004146278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05450109249860589,"score_gpt":0.2205382865433043,"score_spread":0.1660371940446984,"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."}}