{"id":"W6908765330","doi":"10.3389/fped.2020.00544.s002","title":"Data_Sheet_2_Unsupervised Machine Learning Algorithms Examine Healthcare Providers' Perceptions and Longitudinal Performance in a Digital Neonatal Resuscitation Simulator.docx","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Art, Aesthetics, and Perception","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neonatal resuscitation; Resuscitation; Mindset; Health care; Perception; Dreyfus model of skill acquisition; Health professionals; Baseline (sea)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00361817,0.0009056838,0.0009188408,0.001969125,0.0006208056,0.001282398,0.001744845,0.001401502,0.5995906],"category_scores_gemma":[0.03433908,0.0005703524,0.001267118,0.002042357,0.0003319194,0.001333334,0.001160483,0.001210181,0.1089129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020955,"about_ca_system_score_gemma":0.002775521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007448559,"about_ca_topic_score_gemma":0.01146645,"domain_scores_codex":[0.9980704,0.0004531044,0.000446252,0.0002067334,0.000653382,0.0001699877],"domain_scores_gemma":[0.9672551,0.02084491,0.001900795,0.002000819,0.007308131,0.0006902228],"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":[0.001213302,0.0004323165,0.009754973,0.003260431,0.00008073766,0.00006274359,0.00008751338,0.0007007853,0.0002694676,0.0008432658,0.9201532,0.06314113],"study_design_scores_gemma":[0.003690929,0.001107683,0.1100071,0.003857196,0.0001142504,0.0002202022,0.0006373436,0.002512373,0.002971825,0.00266168,0.872079,0.0001404216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002934506,0.000099525,0.001168665,0.0006680318,0.0001448803,0.003418172,0.9754067,0.001455438,0.014704],"genre_scores_gemma":[0.03962277,0.0006809308,0.02514362,0.003629653,0.0003256168,0.05435641,0.8003225,0.002050217,0.07386814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4004094,"threshold_uncertainty_score":0.5711354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0642650858070642,"score_gpt":0.2677381492552058,"score_spread":0.2034730634481416,"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."}}