{"id":"W3209520629","doi":"10.5281/zenodo.1038045","title":"Pharmacodb-1.0.0","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003882118,0.0003003638,0.0003972919,0.0003057726,0.002393011,0.0005803758,0.001460352,0.0001765413,0.04716044],"category_scores_gemma":[0.0005756277,0.0003038672,0.0001180108,0.000191348,0.0003340741,0.0002064511,0.001316934,0.000808472,0.03281625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000318222,"about_ca_system_score_gemma":0.00001450574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002960069,"about_ca_topic_score_gemma":3.186966e-7,"domain_scores_codex":[0.9979063,0.0001563899,0.0002847899,0.0006047954,0.000568534,0.0004791657],"domain_scores_gemma":[0.9973,0.00001592124,0.0002884309,0.00143879,0.0006373822,0.0003194778],"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":[0.0002497623,0.0001336585,1.513494e-7,0.0002681614,0.0001536871,0.00011358,0.00005650468,0.000001852172,0.0005296153,0.00001775858,0.9038939,0.09458137],"study_design_scores_gemma":[0.001361188,0.0002603656,0.0000615844,0.0001930099,0.0001331438,0.000766872,0.00003217502,0.000006513713,0.0001403563,0.00003635706,0.9967316,0.0002768617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004317509,0.0004483458,0.0001872398,0.0008489724,0.0003200244,0.0006656382,0.981512,0.0006110948,0.0153635],"genre_scores_gemma":[0.0003533775,0.0005000769,0.0001154292,0.0004459352,0.0008792945,6.822221e-8,0.9935351,0.001953507,0.002217214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09430451,"threshold_uncertainty_score":0.9999413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05230730478141165,"score_gpt":0.3375475778506256,"score_spread":0.2852402730692139,"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."}}