{"id":"W6990906244","doi":"","title":"Episode 90 with Michael Traikos &amp; Darrin Bauming","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); George (robot); Government (linguistics); Football","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":[0.0005522031,0.0008545585,0.0004241461,0.0007511052,0.006223763,0.004222016,0.001113319,0.00283001,0.6953271],"category_scores_gemma":[0.003017473,0.0004774746,0.0003752899,0.0006998929,0.0003952554,0.002345305,0.004325922,0.003254816,0.5473006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002382816,"about_ca_system_score_gemma":0.003015087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08081782,"about_ca_topic_score_gemma":0.239047,"domain_scores_codex":[0.9993376,0.00005229723,0.00001492508,0.00007365722,0.0002235915,0.0002979288],"domain_scores_gemma":[0.9978968,0.00006694993,0.00005946768,0.00005562474,0.0004989849,0.001422136],"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":[0.000008532438,0.000005823203,0.00004837368,0.000007743023,2.309872e-7,0.0000200323,0.00006311646,0.000002501895,0.00001853081,0.0002236019,0.9965283,0.003073271],"study_design_scores_gemma":[0.000003221626,0.000004311523,0.0003045737,0.00002493559,5.45617e-7,0.00002666085,0.0003777779,0.000008925967,0.00002474059,0.00007386952,0.9991479,0.000002572883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008178017,0.0005155809,0.0002436777,0.009524255,0.005432233,0.0001955473,0.002487297,0.0006490916,0.9801347],"genre_scores_gemma":[0.001248836,0.0001166235,0.00004105766,0.001502734,0.0002762277,0.00002715998,0.0004346066,0.0002251508,0.9961275],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6953271,"threshold_uncertainty_score":0.4345789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00889150449389713,"score_gpt":0.1973300571475039,"score_spread":0.1884385526536068,"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."}}