{"id":"W6920858071","doi":"10.6084/m9.figshare.28200999","title":"Additional file 1 of Inter-rater agreement and characterization of pleural line and subpleural fields in canine lung ultrasound: a comparative pilot study between high-frequency linear and curvilinear transducers using B- and M-mode ultrasonographic profiles","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Line (geometry); Lung; Transducer; Curvilinear coordinates; Characterization (materials science)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005197062,0.0009550542,0.001164964,0.00218204,0.0007703842,0.001078661,0.001454301,0.0009529382,0.8292429],"category_scores_gemma":[0.09623319,0.0004483617,0.0007872514,0.002388598,0.0003300596,0.001402359,0.0008539053,0.0008293019,0.1017451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009573204,"about_ca_system_score_gemma":0.001839491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002799665,"about_ca_topic_score_gemma":0.005548409,"domain_scores_codex":[0.9973236,0.0007076717,0.0007579274,0.0004213477,0.0006196543,0.0001697674],"domain_scores_gemma":[0.8737323,0.1028319,0.006290314,0.00456843,0.01177654,0.0008005252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001792323,0.000360683,0.004112818,0.004957399,0.00007967148,0.0001016981,0.0001960405,0.0003958464,0.000226906,0.0006450874,0.9514138,0.03571775],"study_design_scores_gemma":[0.02189735,0.002304715,0.1125466,0.01123997,0.0006000761,0.001311686,0.001772334,0.006325393,0.003935084,0.01765746,0.8199145,0.0004948929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001234517,0.00003288029,0.001318716,0.0001994282,0.00006276287,0.001013061,0.9939961,0.0006274461,0.001514999],"genre_scores_gemma":[0.0527369,0.0002785169,0.02176857,0.001034653,0.00036893,0.04694185,0.8438633,0.002093624,0.03091362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8292429,"threshold_uncertainty_score":0.2435643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08296275957222693,"score_gpt":0.3811365213951226,"score_spread":0.2981737618228956,"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."}}