{"id":"W3094123921","doi":"10.1007/s11548-020-02279-9","title":"IJCARS: MICCAI 2019 special issue","year":2020,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Data science","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":[],"consensus_categories":[],"category_scores_codex":[0.00272817,0.0001214931,0.0005165886,0.0003944704,0.00006141904,0.0005076145,0.001542534,0.0001650125,0.0005178057],"category_scores_gemma":[0.00213663,0.00008625703,0.0002363175,0.0002434989,0.0001423942,0.001034777,0.0002171036,0.0005039133,0.00006804844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000265436,"about_ca_system_score_gemma":0.0001645068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003795144,"about_ca_topic_score_gemma":5.722148e-7,"domain_scores_codex":[0.9971741,0.0004134458,0.00109755,0.0002524725,0.0009022403,0.000160172],"domain_scores_gemma":[0.9948837,0.003279729,0.0007820951,0.0001028801,0.0007342267,0.0002173981],"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":[0.0001607122,0.00001808683,0.05595481,7.839407e-7,0.0001351416,0.0002292755,0.0002853767,0.00009062504,0.00002807802,0.00012997,0.7726898,0.1702774],"study_design_scores_gemma":[0.0005225275,0.00007205001,0.1697036,0.00003632842,0.00001649568,0.002787299,0.0001119965,0.00210137,0.00004487905,0.002123863,0.8223159,0.0001636916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7271575,0.001717815,0.06209622,0.1741695,0.03063593,0.00009089737,0.00003617357,0.00003421997,0.004061758],"genre_scores_gemma":[0.9351778,0.0003203588,0.002531798,0.01870047,0.04285013,6.0032e-7,0.00001083048,0.00001185597,0.0003961254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2080203,"threshold_uncertainty_score":0.566961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06988495043314324,"score_gpt":0.3599781865930079,"score_spread":0.2900932361598647,"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."}}