{"id":"W6950614701","doi":"10.5683/sp2/nlb8it","title":"CapnoBase IEEE TBME Respiratory Rate Benchmark","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Benchmark (surveying); Photoplethysmogram; Pulse oximetry; Pulse (music); Waveform","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":[],"category_scores_codex":[0.001011691,0.001004155,0.001058201,0.0004646359,0.0001960419,0.0001964464,0.001610645,0.0007857563,0.0007117549],"category_scores_gemma":[0.0009450404,0.001020847,0.0003746255,0.0007401593,0.0002755901,0.0002107985,0.0002876472,0.001281295,0.01485448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004185881,"about_ca_system_score_gemma":0.0008743953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05588338,"about_ca_topic_score_gemma":0.04560354,"domain_scores_codex":[0.9950758,0.0008286798,0.0008742231,0.001333256,0.0009755314,0.000912478],"domain_scores_gemma":[0.995247,0.0002212966,0.0007247282,0.002784649,0.0002277542,0.0007945671],"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":[0.0001696664,0.00009311035,0.000003892224,0.0002213477,0.0001819747,0.001606333,0.00002628734,0.000008187269,0.0002512259,0.00001568889,0.997354,0.00006823611],"study_design_scores_gemma":[0.0006857744,0.000140861,0.0002243306,0.0001282417,0.000411647,0.00001069738,0.00001315848,0.000004948101,0.0003171041,0.00004909456,0.9969495,0.001064641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007178044,0.0003014865,0.000001176378,0.0001498382,0.0005767131,0.0006817211,0.9959723,0.0003629386,0.001946604],"genre_scores_gemma":[0.000001855582,0.00009429784,0.00003716331,0.004511155,0.002140139,0.0001877131,0.9926517,0.0002942436,0.00008172469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01414272,"threshold_uncertainty_score":0.9992242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03644882930871308,"score_gpt":0.283345223698838,"score_spread":0.246896394390125,"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."}}