{"id":"W4234419697","doi":"10.1063/1.4816750.3","title":"10.1063/1.4816750.3","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; Physics; Medicine; Biology; 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":[0.00003958264,0.0005451682,0.0004596745,0.0001708674,0.0000920074,0.0005918299,0.0006109114,0.0004407891,0.005167728],"category_scores_gemma":[0.00005557012,0.0005211286,0.0002012431,0.0003503034,0.0000748202,0.0004437721,0.00007908441,0.0004863147,0.05644696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009864638,"about_ca_system_score_gemma":0.00002852865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006360668,"about_ca_topic_score_gemma":0.00004405694,"domain_scores_codex":[0.9983482,0.000009275515,0.0004022899,0.0004176507,0.0003060239,0.0005165371],"domain_scores_gemma":[0.998619,0.000138614,0.00006828411,0.000905821,0.00006783108,0.0002005034],"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":[0.000002308074,0.00006384781,0.000001233233,0.000114364,0.0001037667,0.000008220662,0.000009561222,0.00003911855,0.0000424091,0.00001582325,0.994563,0.005036275],"study_design_scores_gemma":[0.0001746071,0.00004451652,0.00002552672,0.00004385438,0.00005316883,0.0000354746,0.00001605256,0.00009721056,0.00001428827,0.0001147733,0.9987466,0.0006338764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002176467,0.0004872553,0.00006747733,0.00001188055,0.0002816746,0.0004001953,0.9680198,0.0006409383,0.02987316],"genre_scores_gemma":[0.001508151,0.0001432898,0.00004126682,0.00006431762,0.0005372469,0.0003148745,0.9920996,0.0001155963,0.005175595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05127923,"threshold_uncertainty_score":0.999724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00733059674217594,"score_gpt":0.196859569772006,"score_spread":0.18952897302983,"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."}}