{"id":"W6931329202","doi":"10.5281/zenodo.4564893","title":"kipoi/kipoi: Kipoi with metadata and containers","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Container (type theory); Metadata; Shell (structure); Metadata modeling; Interface (matter); Doors","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":[0.002829431,0.003217071,0.001566614,0.002489141,0.001203288,0.005506989,0.004447839,0.001869972,0.1880293],"category_scores_gemma":[0.01074306,0.002510863,0.002319844,0.00293033,0.0007519198,0.00920175,0.007220461,0.004454559,0.2836911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078612,"about_ca_system_score_gemma":0.002333382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006456466,"about_ca_topic_score_gemma":0.004480727,"domain_scores_codex":[0.9984182,0.0001674067,0.0001682824,0.0003190501,0.0006625885,0.0002644839],"domain_scores_gemma":[0.9956019,0.0006387734,0.0002621101,0.001964872,0.0009727125,0.0005596749],"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":[0.0005711521,0.00005887575,0.0007865335,0.0006097206,0.00005094912,0.0001345024,0.0001220186,0.00132939,0.00152343,0.006116991,0.9664334,0.02226313],"study_design_scores_gemma":[0.0001229433,0.00002542901,0.0007373788,0.0001339821,0.0000308748,0.0001249626,0.0000496479,0.003027302,0.003811658,0.006553585,0.9852802,0.0001020342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001654309,0.0005242092,0.07199723,0.001052378,0.0009477698,0.0003186837,0.2827698,0.5889422,0.0517934],"genre_scores_gemma":[0.01024995,0.0006088647,0.0352304,0.0007239424,0.0001358429,0.0006276597,0.68176,0.2432217,0.02744172],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1880293,"threshold_uncertainty_score":0.6290206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667648346809457,"score_gpt":0.2514368115629699,"score_spread":0.2247603280948754,"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."}}