{"id":"W6931687015","doi":"10.5281/zenodo.7289231","title":"numba/numba: Version 0.56.4","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"CUDA; Relation (database); Component (thermodynamics); Regression analysis","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":[0.002842593,0.00341532,0.00223458,0.002739197,0.001552485,0.005376231,0.006587469,0.002010423,0.3187574],"category_scores_gemma":[0.01123361,0.003128057,0.00171998,0.002491005,0.001068105,0.005006708,0.003355529,0.004925398,0.3447635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002752275,"about_ca_system_score_gemma":0.001990698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006172091,"about_ca_topic_score_gemma":0.00491109,"domain_scores_codex":[0.9972439,0.0004879198,0.0002525519,0.0005338851,0.001077847,0.0004039311],"domain_scores_gemma":[0.9955509,0.0006980184,0.0002761376,0.001375514,0.001765917,0.0003335334],"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":[0.0002173461,0.00003619624,0.0004007359,0.000418103,0.00006799104,0.00005695966,0.0001277493,0.001040086,0.002294461,0.008583602,0.9441171,0.04263961],"study_design_scores_gemma":[0.0001138711,0.00001900162,0.000516061,0.000124901,0.00003584623,0.0001356082,0.00002670897,0.006657186,0.01096694,0.009789528,0.9715106,0.0001035892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001016667,0.0004317163,0.1407514,0.0004041163,0.0006511352,0.0001002941,0.02173149,0.8073468,0.02756634],"genre_scores_gemma":[0.01545568,0.0003765717,0.07449283,0.0007017996,0.0002289896,0.0004704388,0.04705664,0.8048856,0.05633146],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3187574,"threshold_uncertainty_score":0.9717098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07865498788303148,"score_gpt":0.2045332758913372,"score_spread":0.1258782880083057,"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."}}