{"id":"W4398451975","doi":"10.7910/dvn/hbikkv/1bhui8","title":"RunD2.nc","year":2020,"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":"McGill University","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003251326,0.000418612,0.000469366,0.0001901238,0.0001901853,0.0003438675,0.004721719,0.0003283214,0.005762983],"category_scores_gemma":[0.0006408133,0.000427035,0.0001363674,0.0004505293,0.00005819748,0.000503601,0.002872154,0.001364504,0.4750483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074179,"about_ca_system_score_gemma":0.000397552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009354932,"about_ca_topic_score_gemma":0.00009488498,"domain_scores_codex":[0.9969576,0.0002803238,0.0004361938,0.001118004,0.0006896733,0.0005181953],"domain_scores_gemma":[0.9955088,0.0001661147,0.0003099319,0.003525593,0.00008308607,0.0004065076],"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":[0.000005624801,0.00002286006,0.00001063054,0.0002650006,0.00002488597,0.0003759145,0.00003845397,0.00001269787,8.91213e-7,0.0006310147,0.9974371,0.001174879],"study_design_scores_gemma":[0.0001920386,0.00008146693,0.00004722998,0.00007338976,0.00002308189,0.00003919605,0.000004724847,0.001831373,0.000002047559,0.00007998087,0.9972073,0.0004181572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.640338e-7,0.000001705992,0.004670386,0.0002297414,0.001696079,0.000272674,0.9925417,0.0003459744,0.0002413818],"genre_scores_gemma":[0.000003398083,0.0001351714,0.009351541,0.003927517,0.0005599518,0.00002216502,0.9858095,0.00002356866,0.0001671965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4692853,"threshold_uncertainty_score":0.9998181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207927011262581,"score_gpt":0.2733856237102859,"score_spread":0.2513063535976601,"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."}}