{"id":"W4243598183","doi":"10.1063/1.4816750.8","title":"10.1063/1.4816750.8","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":[0.00003984741,0.0005451055,0.0004597047,0.0001703466,0.00009176105,0.0005912989,0.0006172003,0.0004405829,0.005096274],"category_scores_gemma":[0.00005556101,0.0005207983,0.000201144,0.0003495869,0.0000747725,0.0004433658,0.00007912287,0.0004860299,0.0560598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009880602,"about_ca_system_score_gemma":0.00002860472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006529236,"about_ca_topic_score_gemma":0.00004528715,"domain_scores_codex":[0.9983491,0.000009253514,0.0004021404,0.0004175293,0.0003057982,0.0005162119],"domain_scores_gemma":[0.9986184,0.000138778,0.00006829322,0.0009062557,0.00006771265,0.0002006099],"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":[0.000002311055,0.00006350294,0.000001219139,0.0001131083,0.0001037663,0.000008106886,0.000009683466,0.00003948724,0.00004342502,0.00001614343,0.9943981,0.005201206],"study_design_scores_gemma":[0.0001744773,0.00004468698,0.00002584727,0.00004367737,0.00005318901,0.00003487403,0.00001612882,0.00009832212,0.00001449675,0.0001155504,0.9987449,0.0006338689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002197231,0.0004864535,0.00006847129,0.00001173413,0.0002817287,0.0003983742,0.9680373,0.0006400084,0.02985618],"genre_scores_gemma":[0.001523081,0.0001415277,0.00004140924,0.00006352524,0.0005425821,0.0003085929,0.992173,0.0001155314,0.005090769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05096353,"threshold_uncertainty_score":0.9997244,"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."}}