{"id":"W4398436822","doi":"10.7910/dvn/ktwyz6/ewwn8c","title":"MPL_risk.tex","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Risk analysis (engineering); Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00204115,0.003318646,0.002176399,0.004477268,0.0008842247,0.005291065,0.004084637,0.003201328,0.3992606],"category_scores_gemma":[0.010853,0.001248042,0.001997691,0.00698335,0.0008105286,0.002150718,0.003242556,0.002217811,0.4488466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885996,"about_ca_system_score_gemma":0.001778192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193344,"about_ca_topic_score_gemma":0.01601845,"domain_scores_codex":[0.998758,0.0002664698,0.0001047251,0.0004188959,0.000228855,0.0002231191],"domain_scores_gemma":[0.9970898,0.001033898,0.0002527934,0.000891762,0.0003612278,0.0003705499],"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":[0.0000446086,0.00001203317,0.0003037092,0.0003282652,0.00002999541,0.00001162288,0.000009985878,0.0002037767,0.00004319599,0.0003612452,0.9973817,0.001269788],"study_design_scores_gemma":[0.0006679214,0.00003651298,0.001922683,0.0003429758,0.00004367706,0.00008521311,0.00005096116,0.000866924,0.0004034894,0.003405233,0.9921407,0.00003376953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007931563,0.00007073192,0.00007588645,0.0001563838,0.00003715464,0.000007104421,0.9973965,0.001134753,0.001042222],"genre_scores_gemma":[0.0005673351,0.0001040355,0.000289406,0.0001730705,0.00003061359,0.00006351763,0.9967288,0.0005586413,0.001484565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6007395,"threshold_uncertainty_score":0.8568819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951878219290569,"score_gpt":0.3035868503544649,"score_spread":0.2740680681615592,"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."}}