{"id":"W4244493419","doi":"10.1063/1.3465556.3","title":"10.1063/1.3465556.3","year":2010,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"","keywords":"Balloon; Optical coherence tomography; Imaging phantom; Inflatable; Materials science; Biomedical engineering; Optics; Physics; Medicine; Engineering; Surgery","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":[0.00008340309,0.0006418441,0.0005355354,0.0003236074,0.0000911721,0.0005675177,0.0009435394,0.000837003,0.003393274],"category_scores_gemma":[0.0001249781,0.0006581059,0.0003346733,0.0006896581,0.0001847695,0.0004546593,0.0001553617,0.001387223,0.02088692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006675196,"about_ca_system_score_gemma":0.00003253472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004485027,"about_ca_topic_score_gemma":0.0001891507,"domain_scores_codex":[0.9977948,0.00001057246,0.0005184303,0.0005631612,0.0004549837,0.0006580655],"domain_scores_gemma":[0.9979429,0.0002042652,0.00008426222,0.001376884,0.00007736243,0.0003143903],"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":[0.00000559523,0.00008430685,0.000002008486,0.0001044055,0.00008123771,0.00001792783,0.0000033343,0.00002141782,0.00002966507,0.00004290587,0.9933227,0.006284447],"study_design_scores_gemma":[0.0001659724,0.00007921692,0.00005533057,0.00003930117,0.00006567828,0.00002015965,0.000004325787,0.0001111457,0.00003021868,0.0003416685,0.9983426,0.0007443822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001287217,0.0001876959,0.0001329742,0.00001437032,0.0003745056,0.0004775256,0.9674891,0.0009090995,0.03028601],"genre_scores_gemma":[0.002156287,0.00004300867,0.0001851785,0.00003633438,0.0004182763,0.0002927631,0.9960895,0.0001154794,0.0006632147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0296228,"threshold_uncertainty_score":0.999587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005617658796080664,"score_gpt":0.2107493527510016,"score_spread":0.2051316939549209,"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."}}