{"id":"W2157877091","doi":"10.1136/neurintsurg-2014-011240","title":"Flow diverters: inter and intra-rater reliability of porosity and pore density measurements","year":2014,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Blood properties and coagulation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Hôpital Notre-Dame; Health Sciences Centre; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Porosity; Reliability (semiconductor); Observer (physics); Biomedical engineering; Medicine; Observational error; Materials science; Mathematics; Composite material; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001008563,0.00008767971,0.0003460544,0.00009249547,0.00003404897,0.00001628981,0.00003103102,0.00003847201,0.00005116824],"category_scores_gemma":[0.000339492,0.00006373736,0.0002325215,0.0000402659,0.00007985043,0.0001761517,0.00005065725,0.0001410266,5.891252e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001736363,"about_ca_system_score_gemma":0.00002378624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001267691,"about_ca_topic_score_gemma":0.000002851638,"domain_scores_codex":[0.9988164,0.0001356838,0.0005528122,0.0001169394,0.0002903354,0.00008784475],"domain_scores_gemma":[0.9990274,0.00009991336,0.0003193153,0.0000948684,0.0003611464,0.0000973041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006271139,0.0002484336,0.9760734,0.000252966,0.00007967206,0.00001872328,0.00004298484,0.000003936411,0.009037785,0.000006016989,0.001110681,0.01249822],"study_design_scores_gemma":[0.0005026868,0.0003511684,0.9932767,0.0004857016,0.0001132422,0.0006039512,0.00001154122,0.0004198182,0.003639842,0.0003427272,0.0001969231,0.00005569467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997542,0.0001584396,0.0007216358,0.001224677,0.0002595309,0.00005470058,0.000002399434,0.000003694183,0.00003297305],"genre_scores_gemma":[0.9992986,0.00002567295,0.0002784299,0.0002466091,0.00009638654,2.982201e-7,0.000003391682,0.000006652865,0.0000439007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01720324,"threshold_uncertainty_score":0.2599134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615041554582437,"score_gpt":0.2530573716652967,"score_spread":0.2069069561194724,"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."}}