{"id":"W4311566589","doi":"10.5281/zenodo.7439018","title":"SDC4: A Target Enabling Package","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001483721,0.001575328,0.001238675,0.001632818,0.0005653471,0.001799585,0.002733001,0.001443578,0.312213],"category_scores_gemma":[0.002285674,0.001011075,0.001270205,0.001131171,0.000450089,0.0015688,0.002452028,0.001766316,0.2237176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088641,"about_ca_system_score_gemma":0.001507516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021248,"about_ca_topic_score_gemma":0.0009404397,"domain_scores_codex":[0.9993885,0.00007058906,0.00003163913,0.00008382771,0.0003093347,0.0001161986],"domain_scores_gemma":[0.9993038,0.0001274079,0.00005250926,0.0001378545,0.0001763084,0.0002020797],"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":[0.00141819,0.0002118642,0.000871722,0.00183844,0.00009300434,0.0003961181,0.00008715296,0.001664124,0.06547381,0.008773555,0.7674488,0.1517232],"study_design_scores_gemma":[0.0003052057,0.0002040283,0.001001176,0.0001047282,0.00004498913,0.000257766,0.0000182741,0.00303669,0.03527208,0.004032742,0.9556445,0.00007795131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.005396808,0.001940895,0.1977367,0.001639234,0.001062133,0.002119685,0.1756723,0.4939505,0.1204817],"genre_scores_gemma":[0.05892067,0.005119754,0.1408173,0.002874759,0.0006993561,0.005926396,0.3833298,0.1276891,0.2746228],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.312213,"threshold_uncertainty_score":0.9810447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280386140723066,"score_gpt":0.2887240076324558,"score_spread":0.2459201462252251,"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."}}