{"id":"W6931365800","doi":"10.5281/zenodo.2529833","title":"CamDavidsonPilon/lifelines: v0.16.0","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Decimal; Python (programming language); Pairwise comparison; Software; Residual","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":[0.00528673,0.004888058,0.003306102,0.00318686,0.001825135,0.006679297,0.008422079,0.002951455,0.5222178],"category_scores_gemma":[0.01655175,0.005700621,0.004268348,0.002507034,0.001539464,0.006169784,0.008012187,0.006371453,0.6015428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00219139,"about_ca_system_score_gemma":0.004037761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005625572,"about_ca_topic_score_gemma":0.005348043,"domain_scores_codex":[0.9975883,0.0003154907,0.0002296518,0.0006229235,0.0008683507,0.0003753239],"domain_scores_gemma":[0.9941071,0.00153073,0.0004278789,0.001575356,0.001780628,0.0005781366],"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":[0.0001528421,0.00003769585,0.0007140437,0.0009060187,0.00006709816,0.00008557695,0.0001732128,0.0005013957,0.00102457,0.002398694,0.9717786,0.02216023],"study_design_scores_gemma":[0.0001773439,0.00004789832,0.001511524,0.0004310378,0.00005354488,0.0001905744,0.0000578606,0.002799537,0.007198809,0.01053598,0.9768082,0.0001875773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.000391802,0.0002487276,0.0409736,0.0003165466,0.0004150676,0.0001810008,0.0639848,0.8812482,0.01224023],"genre_scores_gemma":[0.003061438,0.0003248854,0.02825824,0.001110811,0.0001110146,0.001101247,0.07193093,0.8682698,0.02583165],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4777822,"threshold_uncertainty_score":0.6814984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064502078590676,"score_gpt":0.2330601686327484,"score_spread":0.2124151478468416,"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."}}