{"id":"W7066333200","doi":"","title":"The Greg Morgan Morning Show with Kevin Martel - Wednesday, May 3, 2023 Hour 2","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Morning; Gray (unit); Joins; Running time","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004094104,0.0006558169,0.0003254008,0.0006043346,0.003303675,0.003251177,0.0004526339,0.001643108,0.7498081],"category_scores_gemma":[0.001179714,0.0003688962,0.0003829149,0.0005196334,0.0003396544,0.001327453,0.001643951,0.001987475,0.5474339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091675,"about_ca_system_score_gemma":0.00165794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934768,"about_ca_topic_score_gemma":0.1027126,"domain_scores_codex":[0.9997577,0.00002271151,0.000005120997,0.00003148476,0.0001087903,0.00007416152],"domain_scores_gemma":[0.9993315,0.00003576394,0.00001685664,0.00002555543,0.0002303137,0.000360146],"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":[0.000009753697,0.000007168806,0.00003718846,0.000007065766,2.727926e-7,0.00001914566,0.000009958371,0.000006246933,0.00003346554,0.0002218327,0.995589,0.004058943],"study_design_scores_gemma":[0.000002802508,0.000006280653,0.0002850026,0.00001555533,4.394312e-7,0.00001521259,0.00007282993,0.00001280086,0.00003221924,0.00008424532,0.9994703,0.000002384558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005052891,0.0005999069,0.0001866416,0.005211281,0.006510534,0.00007017161,0.00129691,0.0006402382,0.9849791],"genre_scores_gemma":[0.0007392052,0.0001311354,0.000055735,0.0006464313,0.00015724,0.000009088144,0.0001987322,0.0001128865,0.9979495],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7498081,"threshold_uncertainty_score":0.3568684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006607157105043566,"score_gpt":0.2004657934879559,"score_spread":0.1938586363829123,"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."}}