{"id":"W6906361291","doi":"10.17605/osf.io/bqs8x","title":"JupyterHub","year":2019,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Identification (biology); Information system; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001086048,0.0001030556,0.0001166827,0.000061689,0.0001560843,0.0003798799,0.002692166,0.0001454258,0.0003992041],"category_scores_gemma":[0.0007059858,0.00008156701,0.00004105947,0.0004022272,0.0005672289,0.00001795975,0.001731385,0.0001635241,0.001019658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001769869,"about_ca_system_score_gemma":0.0003978467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001722811,"about_ca_topic_score_gemma":0.000004582751,"domain_scores_codex":[0.9983667,0.00001995049,0.0001811679,0.0004010102,0.0005551939,0.0004760014],"domain_scores_gemma":[0.9986852,0.00002097814,0.00005124331,0.0008458701,0.0001426575,0.0002540765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000153784,0.000222911,0.03076802,0.00006563184,0.00003506946,0.000004659918,0.0004749592,0.00003655497,0.7686077,0.007233404,0.02045014,0.1719472],"study_design_scores_gemma":[0.0006355161,0.001062352,0.0175961,0.0001029237,0.000005876031,0.00001509244,0.000638694,0.0006730082,0.2896028,0.004821594,0.6842861,0.0005600355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161329,0.0001013116,0.00326582,0.001077678,0.0008883976,0.0006035872,0.000008673517,0.000009598138,0.07791208],"genre_scores_gemma":[0.9714493,0.0001021798,0.02081029,0.001501485,0.0001605489,0.00001181399,0.00001301447,0.000009031025,0.005942365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6638359,"threshold_uncertainty_score":0.9997582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007605388138758,"score_gpt":0.3430961232699155,"score_spread":0.3230200693885279,"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."}}