{"id":"W4240002187","doi":"10.1063/1.4816750.1","title":"10.1063/1.4816750.1","year":2013,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Fibrin; Microbubbles; Biophysics; Chemistry; Biomedical engineering; Ultrasound; Medicine; Biology; Physics; Acoustics; Immunology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000402617,0.0005509852,0.0004639761,0.0001724305,0.0000924354,0.0005957183,0.0006221699,0.0004439667,0.005570881],"category_scores_gemma":[0.00005593535,0.0005253822,0.0002057373,0.0003533515,0.00007544932,0.0004468376,0.00007836933,0.0004907948,0.05680802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101104,"about_ca_system_score_gemma":0.00002892487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006674432,"about_ca_topic_score_gemma":0.00004474779,"domain_scores_codex":[0.9983361,0.000009403063,0.0004050495,0.0004209301,0.0003080892,0.0005204509],"domain_scores_gemma":[0.9986088,0.0001400171,0.00006894099,0.0009125907,0.00006718726,0.0002024878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002358245,0.00006393901,0.000001236396,0.0001112519,0.0001064246,0.000008161814,0.000009503462,0.00004098165,0.00004259131,0.00001481757,0.9943165,0.005282243],"study_design_scores_gemma":[0.0001758299,0.00004551174,0.00002667861,0.00004374141,0.00005371622,0.00003451307,0.00001589793,0.000102988,0.00001436992,0.0001158162,0.9987314,0.0006395634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002209104,0.0004885886,0.00006637512,0.00001158376,0.0002756705,0.0004000255,0.9671035,0.0006282764,0.03080508],"genre_scores_gemma":[0.001552387,0.0001394945,0.0000398578,0.00006159303,0.0005447301,0.0003019579,0.991933,0.0001149075,0.005312019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05123714,"threshold_uncertainty_score":0.9997198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007327928571960318,"score_gpt":0.1967318379081782,"score_spread":0.1894039093362179,"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."}}