{"id":"W4398404091","doi":"10.7910/dvn/ngg3g9","title":"HRA data","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001022437,0.0004331177,0.0004383691,0.000255817,0.0002510005,0.0004677197,0.01653611,0.0003808157,0.01122935],"category_scores_gemma":[0.001035662,0.000424101,0.00006301696,0.0003978355,0.0001302112,0.00123313,0.01314066,0.001012495,0.275103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008675774,"about_ca_system_score_gemma":0.0004989164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207041,"about_ca_topic_score_gemma":0.0004490602,"domain_scores_codex":[0.9960727,0.0003302891,0.0004751733,0.00172143,0.0007815675,0.0006188056],"domain_scores_gemma":[0.9821327,0.0001973203,0.0003705507,0.01686806,0.0001370806,0.0002942536],"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":[0.000004620677,0.00003327056,0.000008791255,0.0001763297,0.00002941566,0.0001483997,0.00001480186,0.000001504175,2.49387e-7,0.0001604377,0.998261,0.00116118],"study_design_scores_gemma":[0.0001770089,0.00006855339,0.00003066,0.0001048377,0.00003133929,0.00005896119,0.000002680147,0.004815646,7.814902e-7,0.00006102751,0.9942135,0.0004349848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.920799e-7,0.00000253805,0.004452589,0.0000747104,0.002843858,0.0002643748,0.9919012,0.0002653238,0.0001949185],"genre_scores_gemma":[7.235142e-7,0.0001634455,0.01868534,0.001453904,0.001091631,0.0000118923,0.9783237,0.00002389254,0.000245492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2638737,"threshold_uncertainty_score":0.9998211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04582458979527516,"score_gpt":0.3173667554243855,"score_spread":0.2715421656291104,"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."}}