{"id":"W4229016278","doi":"10.1111/cpf.12762","title":"Software development to optimize the minimal detectable difference in human airway images captured using optical coherence tomography","year":2022,"lang":"en","type":"article","venue":"Clinical Physiology and Functional Imaging","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reproducibility; Medicine; Optical coherence tomography; Airway; Biomedical engineering; Software; Nuclear medicine; Pathology; Radiology; Surgery; Computer science; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003938,0.0002009325,0.0002816674,0.0001290907,0.0005694726,0.0000328868,0.0002485496,0.0000603209,0.0001818131],"category_scores_gemma":[0.00008639444,0.0001748415,0.00009390438,0.0004816028,0.0003893889,0.00008068762,0.0002871428,0.0007550367,0.000007689966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004980967,"about_ca_system_score_gemma":0.00004767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001039202,"about_ca_topic_score_gemma":0.000004883057,"domain_scores_codex":[0.9983783,0.0001183094,0.0004950457,0.0004537491,0.0001688057,0.0003858254],"domain_scores_gemma":[0.9988255,0.0007012687,0.00004514838,0.0002402837,0.00005049985,0.0001373159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007134642,0.001367342,0.2665197,0.0001738358,0.0004539304,0.00006353205,0.001103664,0.3267211,0.3569371,0.002679654,0.002748264,0.04051846],"study_design_scores_gemma":[0.0007737514,0.0001211999,0.9712946,0.00002814134,0.00004308534,0.00004058985,0.0003676507,0.02226578,0.001431295,0.002458532,0.0006335645,0.0005418221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673401,0.0003063061,0.03096398,0.0001711171,0.000323757,0.0003899648,0.000022284,0.0001424715,0.0003400264],"genre_scores_gemma":[0.9883301,0.000004170305,0.01076888,0.000400129,0.00008285949,0.0003412999,0.00002787142,0.00002021166,0.00002447318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7047749,"threshold_uncertainty_score":0.7129829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309296507027668,"score_gpt":0.2824988202060707,"score_spread":0.2515691695033039,"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."}}