{"id":"W4394144341","doi":"10.6084/m9.figshare.20341446","title":"EdU Optimization - Optimized Procedure Example","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Mathematics; Mathematical optimization","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":[],"consensus_categories":[],"category_scores_codex":[0.001891602,0.002775146,0.001435737,0.002017529,0.00103951,0.002047334,0.002492993,0.001991457,0.149327],"category_scores_gemma":[0.007676622,0.0008852244,0.002172736,0.003193589,0.0003858795,0.001237237,0.001398277,0.001769589,0.1256405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216478,"about_ca_system_score_gemma":0.002068452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007852538,"about_ca_topic_score_gemma":0.02263462,"domain_scores_codex":[0.998514,0.0002806484,0.0001321401,0.0006486714,0.0002509272,0.0001735975],"domain_scores_gemma":[0.9982638,0.0008271845,0.00007132723,0.0004553124,0.0003070259,0.00007540666],"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":[0.000259372,0.00005047628,0.001483142,0.001557523,0.0001003931,0.00003986983,0.00003686471,0.001684265,0.0007949736,0.001094393,0.9772206,0.01567823],"study_design_scores_gemma":[0.000658381,0.00006593989,0.003350349,0.0003525693,0.0001117971,0.00009906702,0.00006425056,0.004626605,0.00358569,0.006064238,0.9809719,0.00004921021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007146201,0.0002096993,0.002244801,0.000141305,0.00007934027,0.00009709159,0.9811037,0.01213729,0.003272331],"genre_scores_gemma":[0.002136275,0.000173391,0.01086941,0.0002446852,0.00001437571,0.0006784179,0.9808825,0.002313004,0.002688074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.149327,"threshold_uncertainty_score":0.4995486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03171546049516131,"score_gpt":0.2982995753005345,"score_spread":0.2665841148053731,"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."}}