{"id":"W4212795353","doi":"10.1002/wnan.1445","title":"Cover Image, Volume 8, Issue 6","year":2016,"lang":"en","type":"paratext","venue":"Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Cover (algebra); Image (mathematics); Volume (thermodynamics); Ultrasound imaging; Computer science; Artificial intelligence; Ultrasound; Computer vision; Medicine; Radiology; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002716991,0.001354845,0.0009346603,0.002440583,0.0008760794,0.00396015,0.001159952,0.003087092,0.6961808],"category_scores_gemma":[0.002442741,0.0004870061,0.0009187944,0.001189512,0.0007369466,0.002084248,0.001512457,0.002614988,0.5047426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009493184,"about_ca_system_score_gemma":0.0006215685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628929,"about_ca_topic_score_gemma":0.003336387,"domain_scores_codex":[0.9996506,0.00002173091,0.00001630528,0.00005490666,0.0002077247,0.0000487135],"domain_scores_gemma":[0.9989128,0.0001971785,0.00007656313,0.00009366883,0.0004197825,0.0002999924],"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":[0.00003461906,0.00001897254,0.00004456403,0.00015503,0.000003917611,0.00009587764,0.000005153424,0.0000293985,0.0004683895,0.0003229674,0.9648663,0.03395487],"study_design_scores_gemma":[0.00002134481,0.00002411592,0.0004121054,0.0001364202,0.000003990423,0.0004094822,0.00001584378,0.0001452224,0.0002351177,0.0005082343,0.9980818,0.000006272933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001062234,0.01216604,0.002353699,0.02409611,0.1439815,0.0005571194,0.0041365,0.003415085,0.8082317],"genre_scores_gemma":[0.003503909,0.005439587,0.0009596559,0.01084407,0.04712447,0.0001274452,0.001919476,0.0007097825,0.9293715],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3038192,"threshold_uncertainty_score":0.4333612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484424447953084,"score_gpt":0.3438891123994847,"score_spread":0.3290448679199539,"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."}}