{"id":"W6968682392","doi":"10.5281/zenodo.260071","title":"pydata/xarray v0.9.0rc1","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Logistics and Infrastructure Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Software; HT1080","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002582689,0.0001943384,0.0002293683,0.00006079223,0.001779423,0.001007504,0.001724592,0.0001828047,0.171023],"category_scores_gemma":[0.0003461986,0.00008998523,0.00009881337,0.0002007233,0.0001827912,0.00007705356,0.0009307076,0.0002445516,0.008562506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003343769,"about_ca_system_score_gemma":0.000001106353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002287159,"about_ca_topic_score_gemma":0.00001519362,"domain_scores_codex":[0.998631,0.0001291953,0.0001496375,0.0004609197,0.0003137689,0.0003154947],"domain_scores_gemma":[0.999092,0.00001368527,0.0002367229,0.0003172073,0.0001861816,0.0001541702],"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":[0.000004299942,0.00002060681,0.000001413403,0.00001109447,0.00004486319,0.000006305064,0.00001642489,5.075352e-7,0.0018705,0.0005130053,0.8385276,0.1589834],"study_design_scores_gemma":[0.00007384502,0.00009734264,0.0002432962,0.00003573543,0.00003008764,0.00001460857,0.00002844008,0.00001277784,0.0000508007,0.0001586607,0.9990453,0.0002091268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009375285,0.0001750382,0.0001088613,0.0005381886,0.0001352386,0.0001975371,0.001348601,0.0006124605,0.9967903],"genre_scores_gemma":[0.04172011,0.001161515,0.0002498861,0.0004030705,0.002993266,5.62049e-8,0.02693477,0.00130815,0.9252292],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1624605,"threshold_uncertainty_score":0.9995201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444278068982563,"score_gpt":0.2292350045091103,"score_spread":0.1947922238192847,"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."}}