{"id":"W4367608167","doi":"10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a2302","title":"Harmonization of Reconstructed Field of View Improves Accuracy of Lung CT Measurements","year":2023,"lang":"en","type":"article","venue":"","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Harmonization; Computer science; Field (mathematics); Artificial intelligence; Physics; Mathematics; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680771,0.0007721941,0.0007644093,0.001149254,0.0003980379,0.002400415,0.0007194963,0.00106565,0.003432031],"category_scores_gemma":[0.007803127,0.0006085806,0.0007027314,0.001083754,0.0003643338,0.001227831,0.001918299,0.0008924379,0.001341725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713166,"about_ca_system_score_gemma":0.001175924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986338,"about_ca_topic_score_gemma":0.001919805,"domain_scores_codex":[0.9984109,0.0004550981,0.0001171176,0.0003967864,0.0004713989,0.0001486023],"domain_scores_gemma":[0.9976731,0.0006808552,0.0002528142,0.0007954032,0.0005022907,0.00009552629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002707452,0.0003134932,0.04167775,0.0005109626,0.0005741412,0.0003227383,0.0005265637,0.1063232,0.2636094,0.003218225,0.006967541,0.5732487],"study_design_scores_gemma":[0.0001756393,0.0005883441,0.08737896,0.00017926,0.0007353993,0.003016189,0.0004804251,0.5939624,0.2876823,0.004681069,0.02086829,0.0002516486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1843904,0.002401326,0.800207,0.0004442557,0.0001575216,0.0001165853,0.001084643,0.005709793,0.0054884],"genre_scores_gemma":[0.6706372,0.000844196,0.3223757,0.0003541599,0.00009082897,0.00008242969,0.002023607,0.001819791,0.001772009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003432031,"threshold_uncertainty_score":0.01148129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04366053490590119,"score_gpt":0.3378301070866844,"score_spread":0.2941695721807832,"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."}}