{"id":"W7056383244","doi":"","title":"Episode 226 - Danny Sahl","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legend; Context (archaeology); Work (physics); Quarter (Canadian coin)","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":["insufficient_payload"],"category_scores_codex":[0.001063419,0.0006695578,0.000434056,0.0005484829,0.008392183,0.006940522,0.0009624995,0.005004799,0.3594037],"category_scores_gemma":[0.005094402,0.0004286052,0.0003566297,0.0007376141,0.001009694,0.003527233,0.004768995,0.006080029,0.1426976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003233855,"about_ca_system_score_gemma":0.003913022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05378847,"about_ca_topic_score_gemma":0.1723949,"domain_scores_codex":[0.9987325,0.000129499,0.00002951048,0.0001299678,0.0004898986,0.0004886015],"domain_scores_gemma":[0.998665,0.0001114635,0.00004424449,0.00006596478,0.0003916469,0.000721677],"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":[0.00000767943,0.00000397992,0.0000307249,0.000009201362,3.161275e-7,0.00006314003,0.00009856471,0.000002830665,0.00002240267,0.001087866,0.9957358,0.002937562],"study_design_scores_gemma":[0.000001887355,0.000003889277,0.0001255982,0.00001718847,3.057502e-7,0.00003236168,0.0002652411,0.000003990606,0.00001736589,0.0001692585,0.999361,0.000002102823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001750281,0.002802787,0.0002621643,0.09077769,0.02073261,0.0001042443,0.00158664,0.0005305494,0.881453],"genre_scores_gemma":[0.004789983,0.0005799774,0.00005892426,0.01958501,0.00135388,0.00003110543,0.0003232315,0.000167564,0.9731103],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6405963,"threshold_uncertainty_score":0.9137328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004912158097939015,"score_gpt":0.1716888146017322,"score_spread":0.1667766565037932,"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."}}