{"id":"W4241465805","doi":"10.1063/1.4816750.7","title":"10.1063/1.4816750.7","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; Physics; Acoustics; Biology; 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":[0.00003958586,0.0005451987,0.0004597179,0.0001708975,0.00009201527,0.0005919098,0.0006110379,0.0004408171,0.005125241],"category_scores_gemma":[0.00005556225,0.0005211948,0.0002012593,0.0003503799,0.00007482337,0.0004438205,0.00007910666,0.0004863756,0.05598573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000986501,"about_ca_system_score_gemma":0.00002852455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006367042,"about_ca_topic_score_gemma":0.00004442305,"domain_scores_codex":[0.9983481,0.00000927692,0.0004022951,0.0004176794,0.0003060767,0.0005165639],"domain_scores_gemma":[0.9986188,0.0001385452,0.00006828603,0.0009060868,0.00006780581,0.0002005157],"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":[0.00000230826,0.00006384944,0.000001221162,0.0001144259,0.000103792,0.000008221089,0.000009561098,0.00003913038,0.00004297566,0.00001588871,0.9945698,0.005028828],"study_design_scores_gemma":[0.0001746296,0.00004451538,0.00002581513,0.00004387111,0.00005319339,0.00003578724,0.00001605118,0.00009705246,0.00001430225,0.0001147411,0.9987461,0.0006339669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002190377,0.0004869083,0.00006694081,0.00001185301,0.0002815238,0.0003998329,0.9679064,0.0006408671,0.02998666],"genre_scores_gemma":[0.001514919,0.0001433659,0.00004128094,0.00006430262,0.0005371969,0.0003145599,0.9921487,0.000115694,0.005119972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05086049,"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."}}