{"id":"W6964684950","doi":"10.25549/examiner-c44-6389","title":"Baton twirlers (Canada Park, Glandale), 1951","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baton rouge; State (computer science); George (robot); Power (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003545499,0.001443905,0.0009580481,0.003899528,0.001250317,0.002730649,0.00148565,0.0007496435,0.1175454],"category_scores_gemma":[0.002663038,0.0006745697,0.0005155691,0.01089321,0.0003537637,0.001180928,0.001021389,0.001346928,0.1246409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005258465,"about_ca_system_score_gemma":0.007914451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7214517,"about_ca_topic_score_gemma":0.8907056,"domain_scores_codex":[0.9995296,0.00002487517,0.00002809495,0.0001235219,0.0001825695,0.0001113935],"domain_scores_gemma":[0.9982431,0.0001655995,0.0001034899,0.000222405,0.001045311,0.0002201155],"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":[0.00001690173,0.00000358846,0.0003242213,0.00009962646,0.000004173311,0.000007004822,0.00001364662,0.00006547423,0.000019812,0.0001887006,0.9974666,0.001790253],"study_design_scores_gemma":[0.00002425703,0.000002180243,0.004386737,0.0001492785,0.000005256377,0.00001238324,0.00007925097,0.00008918213,0.00009449309,0.000229415,0.9949178,0.000009706046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008645235,0.00009184428,0.00002456846,0.00004625692,0.00001629764,0.000004000174,0.9968188,0.0001459787,0.002765783],"genre_scores_gemma":[0.0004494441,0.0001447705,0.0001611885,0.00002299522,0.000005875736,0.0000161783,0.9929341,0.0001006981,0.006164738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2785483,"threshold_uncertainty_score":0.5603774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005045295449988798,"score_gpt":0.1436546471381061,"score_spread":0.1386093516881172,"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."}}