{"id":"W7000895922","doi":"","title":"Golden Eagle Insider Podcast, Season 2, Episode 17: Esten Beneda","year":2020,"lang":"en","type":"other","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athletic Edge Sports Medicine","funders":"","keywords":"Eagle; Insider","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003175975,0.0003369576,0.0002067481,0.0003852296,0.002112625,0.001481582,0.000557431,0.0008095519,0.3913357],"category_scores_gemma":[0.0007281858,0.0001800896,0.0001628711,0.000275728,0.0002038516,0.0006511056,0.001510865,0.001107935,0.1239025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008673204,"about_ca_system_score_gemma":0.001635372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03947981,"about_ca_topic_score_gemma":0.2583188,"domain_scores_codex":[0.9998435,0.00000913208,0.00000347506,0.00002595587,0.00006146769,0.00005643412],"domain_scores_gemma":[0.9995596,0.00002242202,0.00001502945,0.00002049147,0.000137382,0.0002450864],"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":[0.00003570946,0.00001603733,0.0003529976,0.0000202995,7.811125e-7,0.00005808058,0.00005715488,0.00002053297,0.0001473452,0.0004998346,0.9872853,0.01150585],"study_design_scores_gemma":[0.000007645214,0.000009659582,0.001339067,0.00002530059,7.081029e-7,0.00002133815,0.0002142513,0.00003979245,0.00006768277,0.00007076993,0.9982017,0.000001998139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00498923,0.0005005397,0.0003122908,0.003112977,0.003100527,0.0001258595,0.005017552,0.0008420417,0.9819989],"genre_scores_gemma":[0.005788334,0.0001814324,0.0001759152,0.00052986,0.0001305019,0.00002050929,0.001748388,0.0002808993,0.9911442],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6086643,"threshold_uncertainty_score":0.8681858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610815360029225,"score_gpt":0.186194006541332,"score_spread":0.1700858529410397,"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."}}