{"id":"W4398373696","doi":"10.7910/dvn/ktwyz6/aqadvf","title":"risk_bounds.png","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","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":[0.0005451572,0.0003676089,0.0007299725,0.0003378364,0.0001562971,0.00007966783,0.0007249937,0.0003038831,0.03159659],"category_scores_gemma":[0.00158408,0.0002937516,0.0001751802,0.000543273,0.0004495454,0.0001763536,0.0005005129,0.001132519,0.3162245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420935,"about_ca_system_score_gemma":0.0009337393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007505179,"about_ca_topic_score_gemma":0.00008387515,"domain_scores_codex":[0.9966928,0.00007044878,0.0003981335,0.0007996106,0.001402912,0.0006361042],"domain_scores_gemma":[0.996902,0.000104773,0.0001475221,0.001689983,0.0001515037,0.001004157],"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":[0.0001977169,0.0001060882,0.00003419444,0.0004306835,0.00009183441,0.001955022,0.00004550533,9.721311e-8,0.0001233813,0.000009052832,0.9958487,0.001157778],"study_design_scores_gemma":[0.001636831,0.0003634293,0.0002239075,0.0003148727,0.0003886612,0.0001878579,0.0002031181,0.00002238989,0.00006073436,0.000008170866,0.9963265,0.0002635068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004103889,0.000007339304,0.00001817191,0.0001373182,0.0009007782,0.0005643015,0.9966713,0.0000838085,0.001575917],"genre_scores_gemma":[0.00002469001,0.002254984,0.0002173635,0.004200945,0.001666057,0.00002679084,0.9897493,0.00002914041,0.001830801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.284628,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861618811776728,"score_gpt":0.317891386371058,"score_spread":0.2792751982532907,"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."}}