{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006513575,0.0006731931,0.0008874525,0.000304542,0.0001856417,0.000224305,0.001445742,0.0004628411,0.01018973],"category_scores_gemma":[0.00007798915,0.0007772372,0.0004302002,0.0006108697,0.0004191476,0.000520903,0.001119598,0.0006564648,0.03529887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520176,"about_ca_system_score_gemma":0.002923088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05641011,"about_ca_topic_score_gemma":0.04114186,"domain_scores_codex":[0.9970493,0.0001152849,0.000418391,0.0008172393,0.0009755933,0.0006242186],"domain_scores_gemma":[0.9975322,0.0001945478,0.0005919368,0.001084962,0.00008857477,0.0005077611],"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":[0.0003410667,0.0001521292,0.001576943,0.0002535284,0.0002998371,0.001299335,0.00001638641,0.00001844986,0.000002101204,4.482684e-7,0.9958242,0.0002155937],"study_design_scores_gemma":[0.000606264,0.00002406969,0.00001448617,0.0003408924,0.0001785496,0.00002374117,0.00200155,0.00001048414,0.00001581417,0.00002320357,0.9959776,0.000783289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001993077,0.0002412791,0.000002875037,0.0001485669,0.0001157876,0.0002197052,0.9941134,0.0001658976,0.002999342],"genre_scores_gemma":[0.0003637088,0.00006030245,0.00004957971,0.0001530856,0.000133609,2.244766e-7,0.9967874,0.0001408663,0.002311215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02510915,"threshold_uncertainty_score":0.9994678,"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."}}