{"id":"W6927462723","doi":"10.3389/fped.2020.00544.s003","title":"Data_Sheet_3_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":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005111341,0.0003284938,0.0002703865,0.0001188005,0.0001322366,0.0002758846,0.0003467864,0.0003002317,0.002961093],"category_scores_gemma":[0.000453162,0.0003380039,0.00006262404,0.0001504151,0.00002642178,0.00005789436,0.0006235487,0.000633058,0.0002852912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004306499,"about_ca_system_score_gemma":0.0001551639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006928176,"about_ca_topic_score_gemma":0.0005214902,"domain_scores_codex":[0.9982685,0.00006681544,0.0003024521,0.0007420538,0.0002388664,0.0003812549],"domain_scores_gemma":[0.9991897,0.00002814215,0.000105952,0.0003784487,0.0001090954,0.0001886623],"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":[0.0001803435,0.00005740977,0.004568804,0.001504617,0.00004627047,0.00005460755,0.00007671673,0.00003306906,0.0002748701,3.75964e-8,0.9885629,0.00464038],"study_design_scores_gemma":[0.0008171271,0.0006603481,0.01532302,0.0008493398,0.00001142213,0.00003226398,0.0001157715,0.0006333568,0.00008576836,4.041699e-7,0.9810643,0.0004068675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03568682,0.0005306443,0.00000126615,0.00009017534,0.00003338598,0.0004108953,0.9632263,0.00001549786,0.000004979734],"genre_scores_gemma":[0.0729214,0.0003267111,0.00002046545,0.00008297786,0.000263631,0.0001317992,0.9261621,0.0000337569,0.00005716108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03723458,"threshold_uncertainty_score":0.9999072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356254390350797,"score_gpt":0.2908509915312338,"score_spread":0.2572884476277258,"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."}}