{"id":"W6958733142","doi":"10.6084/m9.figshare.14952621.v1","title":"Maroon5overexposeddeluxezipsharebeast","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maroon; Download; Supper; Period (music)","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005064495,0.00009111749,0.0001296761,0.0001019805,0.0001496709,0.000968639,0.0009185148,0.00003280426,0.7551137],"category_scores_gemma":[0.01884075,0.00007395556,0.0001048635,0.001095994,0.000004826343,0.0002438257,0.001057316,0.00008084617,0.07516564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001841012,"about_ca_system_score_gemma":0.00009229491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001197813,"about_ca_topic_score_gemma":0.00001006481,"domain_scores_codex":[0.9974694,0.00009002919,0.000320231,0.0007067587,0.001181841,0.0002317553],"domain_scores_gemma":[0.9972411,0.0005923412,0.0001019326,0.001447886,0.0004964417,0.0001202889],"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":[9.479275e-7,0.00001786042,0.00004997837,0.000003853097,0.000003266489,0.0000560651,0.00002662792,0.00004043753,0.00001689827,0.0001142036,0.9492886,0.05038125],"study_design_scores_gemma":[0.0001009199,0.000005376342,0.004614166,0.0001117058,0.000001393245,0.00001448561,0.0001790263,0.001829838,0.0004126329,0.001569651,0.9910542,0.0001066084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001805439,0.0005260558,0.0002346719,0.001797178,0.001421198,0.0002127806,0.5578979,0.0003177761,0.435787],"genre_scores_gemma":[0.5237983,0.000001360721,0.002758928,0.004335233,0.0008129551,0.00007510712,0.3136425,0.0000416806,0.1545338],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.679948,"threshold_uncertainty_score":0.989424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3518832187713793,"score_gpt":0.4091835942903544,"score_spread":0.05730037551897504,"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."}}