{"id":"W7064786215","doi":"","title":"Brian Crombie Radio Hour - Epi 385 - How Medical Devices and Robots will change our lives:","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; Officer; Pill; Medical robotics; Surgical robot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001913851,0.0004157165,0.0006795806,0.00008030808,0.0001039603,0.0001911396,0.0003463586,0.0002977979,0.2907533],"category_scores_gemma":[0.00003401424,0.000399129,0.0002481782,0.0000190888,0.0001086595,0.000001350773,0.0001255025,0.0003804769,0.0008277759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002199876,"about_ca_system_score_gemma":0.00006099452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007675122,"about_ca_topic_score_gemma":0.001592842,"domain_scores_codex":[0.9982023,0.00009008859,0.0004444573,0.0003236846,0.0005522858,0.0003871786],"domain_scores_gemma":[0.9987019,0.00005078118,0.0005247594,0.0003613312,0.00009924515,0.0002619587],"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":[0.00001545585,0.00006452126,0.0001720047,0.0002930139,0.0003028748,0.000031681,0.0002393512,0.000009317744,4.990349e-7,0.00007890955,0.9951259,0.003666423],"study_design_scores_gemma":[0.0004571535,0.00007272669,0.0001282893,0.0006234785,0.0001659085,0.00002227742,0.001028286,0.00007519581,0.000009470888,0.00001152212,0.9970052,0.000400545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001641098,0.001418443,0.000005920884,0.001221884,0.0002054789,0.0002939601,0.0001170142,0.00006380073,0.9965094],"genre_scores_gemma":[0.01642876,0.0006989029,0.0006313132,0.0002899392,0.001131933,0.00002801806,0.000490953,0.0000991113,0.9802011],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2899255,"threshold_uncertainty_score":0.9999502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007917311445059394,"score_gpt":0.2086291165745477,"score_spread":0.2007118051294883,"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."}}