{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001117594,0.0007135299,0.001911897,0.000559722,0.0009894157,0.00005623598,0.001030294,0.001527203,0.01006611],"category_scores_gemma":[0.0002776775,0.0005068633,0.0002959401,0.0006533229,0.002765865,0.0002155407,0.001485624,0.0011264,0.0352593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596972,"about_ca_system_score_gemma":0.0002454924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005304452,"about_ca_topic_score_gemma":0.00001730805,"domain_scores_codex":[0.9959435,0.000410186,0.001098817,0.001167011,0.00032729,0.001053142],"domain_scores_gemma":[0.9977111,0.0001911503,0.0007875895,0.0008628906,0.0001561975,0.0002910222],"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":[0.00001486871,0.00003395337,0.000001515846,0.0001952399,0.00003576763,0.00002743781,0.0005970607,8.566797e-8,0.0002722236,0.0001274883,0.6887227,0.3099717],"study_design_scores_gemma":[0.0005014826,0.0004861451,0.000001760109,0.004304467,0.00008410817,0.00005710973,0.0004905875,0.000009912012,0.00006603477,0.0009347059,0.9924515,0.0006121235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000274184,0.3729226,0.01348114,0.0842345,0.01586375,0.002940122,0.0002812087,0.00060606,0.5093965],"genre_scores_gemma":[0.0003359344,0.3423363,0.001611481,0.0007080217,0.004214571,0.0001235629,0.0001048508,0.00007806497,0.6504872],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3093596,"threshold_uncertainty_score":0.999948,"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."}}