{"id":"W7019254669","doi":"","title":"Golden Eagle Insider Podcast, Season 2, Episode 10: Mike Roysland","year":2019,"lang":"en","type":"other","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athletic Edge Sports Medicine","funders":"","keywords":"Insider; Eagle; Thunder","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":[],"category_scores_codex":[0.0003758717,0.0005345624,0.0002292268,0.0004043913,0.004921095,0.00334418,0.0007334725,0.001235996,0.4665945],"category_scores_gemma":[0.0008295607,0.0003762754,0.0002177573,0.0003490064,0.0003361415,0.001517464,0.002374902,0.002467269,0.1761447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002071519,"about_ca_system_score_gemma":0.002943292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08671815,"about_ca_topic_score_gemma":0.4358569,"domain_scores_codex":[0.999724,0.00002086284,0.000005625755,0.00004088519,0.00007662969,0.00013199],"domain_scores_gemma":[0.9992482,0.00001979754,0.00001684151,0.00002089641,0.0001447423,0.0005495369],"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":[0.000009242378,0.00001149709,0.0001205453,0.00001102817,3.192361e-7,0.00002987488,0.00008369592,0.000006584544,0.00004964128,0.0003150871,0.9963282,0.003034302],"study_design_scores_gemma":[0.000003358472,0.00000705403,0.0007096408,0.00002294101,4.815674e-7,0.00001890644,0.000615998,0.00001490615,0.00004318505,0.00006237215,0.9984986,0.000002587713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002495233,0.0005322678,0.0002973785,0.01054071,0.006937965,0.0001343004,0.002814281,0.0006857151,0.9755622],"genre_scores_gemma":[0.003522076,0.0001514141,0.00009596734,0.0014798,0.0001844921,0.000025253,0.0004931261,0.000200603,0.9938473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4665945,"threshold_uncertainty_score":0.7608382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343931105020591,"score_gpt":0.185155441591309,"score_spread":0.1717161305411031,"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."}}