{"id":"W2995232140","doi":"10.48550/arxiv.1912.10601","title":"Optimized Cranial Bandeau Remodeling","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business","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"],"consensus_categories":[],"category_scores_codex":[0.0002970674,0.0004334987,0.0008701799,0.0003543731,0.0000601015,0.00005393685,0.0004673307,0.0003914145,0.0002550366],"category_scores_gemma":[0.0002031741,0.0004561879,0.0003695878,0.000300941,0.0001918936,0.0001784565,0.0007341672,0.001152937,0.0004409501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003449721,"about_ca_system_score_gemma":0.0004278455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102194,"about_ca_topic_score_gemma":0.000001813298,"domain_scores_codex":[0.9978972,0.0000590981,0.0003166047,0.001088559,0.0001898884,0.0004486579],"domain_scores_gemma":[0.9977525,0.0001089611,0.0002214706,0.001302855,0.0003029343,0.000311308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002269426,0.000466815,0.01097749,0.00117772,0.000699894,0.002976205,0.000288878,0.9678499,0.0004081982,0.003993215,0.007410668,0.001481609],"study_design_scores_gemma":[0.008536702,0.0002205319,0.001156545,0.001751456,0.001259977,0.0000991874,0.0002077023,0.9760254,0.0001232472,0.006065387,0.003737546,0.0008163289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6686721,0.0002324414,0.1906076,0.0007536294,0.002356044,0.001309492,0.0000340404,0.0006140243,0.1354206],"genre_scores_gemma":[0.973653,0.0002353025,0.002895908,0.0006106891,0.0003874411,6.482738e-7,0.0001416882,0.00007623277,0.02199909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3049809,"threshold_uncertainty_score":0.999789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08493729373037866,"score_gpt":0.2135162269144474,"score_spread":0.1285789331840688,"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."}}