{"id":"W6946116935","doi":"10.3389/fped.2020.594690.s001","title":"Data_Sheet_1_Mindset Moderates Healthcare Providers' Longitudinal Performance in a Digital Neonatal Resuscitation Simulator.csv","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mindset; Neonatal resuscitation; Resuscitation; Test (biology); Longitudinal study","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001548463,0.0004110002,0.0004432272,0.0003645414,0.0002418981,0.002281976,0.001521808,0.0002785527,0.002668534],"category_scores_gemma":[0.001337039,0.0004213412,0.00008443445,0.0006552886,0.00001275954,0.004968397,0.001020326,0.0006245205,0.0007384949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538136,"about_ca_system_score_gemma":0.0008272008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001492626,"about_ca_topic_score_gemma":0.00007527144,"domain_scores_codex":[0.997254,0.00003350549,0.0008394292,0.0006969687,0.0006706958,0.000505389],"domain_scores_gemma":[0.9975425,0.0002129332,0.0006236593,0.001020936,0.0004561146,0.0001438471],"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":[0.000003614935,0.00003297225,0.00001322887,0.003270068,0.000009697542,0.00004096839,0.0004876425,0.001312517,2.058974e-8,0.00001557034,0.9890811,0.005732608],"study_design_scores_gemma":[0.0003360474,0.0000527821,0.000130644,0.007174609,0.000004245841,0.00005324942,0.00008604125,0.3331532,0.00001544584,0.0001642617,0.6582341,0.00059538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004764894,0.0004152683,0.0008442734,0.00009705518,0.000191179,0.0003452759,0.9978775,0.00009650725,0.00008532792],"genre_scores_gemma":[0.004504362,0.00001046387,0.00100871,0.0002532066,0.0001459187,0.00008334293,0.9939436,0.00001623743,0.00003418302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3318408,"threshold_uncertainty_score":0.9998239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04192076068506118,"score_gpt":0.2797330917771441,"score_spread":0.2378123310920829,"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."}}