{"id":"W6931304230","doi":"10.5281/zenodo.3263935","title":"pysal/esda: esda 2.1.0","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Documentation; Debugging; Missing data; Test (biology); Statistical hypothesis testing","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":[0.01612096,0.003642003,0.002853017,0.005849655,0.001993585,0.009315317,0.008210205,0.003742312,0.4407659],"category_scores_gemma":[0.08682767,0.005657405,0.005178438,0.003662593,0.001839704,0.009339266,0.006790363,0.008428796,0.5305313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080743,"about_ca_system_score_gemma":0.005576868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004269051,"about_ca_topic_score_gemma":0.003283649,"domain_scores_codex":[0.9906283,0.002106653,0.001337794,0.001754012,0.003496952,0.0006763077],"domain_scores_gemma":[0.9559513,0.01404822,0.002346805,0.01195559,0.01416783,0.001530215],"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":[0.0002233429,0.00002620249,0.0007434475,0.0006012056,0.00007046937,0.0001093474,0.0001449099,0.0002784054,0.0009777071,0.001714071,0.9776299,0.01748115],"study_design_scores_gemma":[0.0002977021,0.0000841918,0.001925407,0.0005809927,0.00009807311,0.0004167596,0.00009705095,0.001733816,0.005291434,0.008397658,0.9808622,0.0002147043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0008206979,0.0003662158,0.05085313,0.001753409,0.001673108,0.0002887111,0.09346639,0.8337212,0.01705706],"genre_scores_gemma":[0.006586597,0.0004364489,0.06057613,0.002884151,0.0005103466,0.0009700936,0.1155588,0.7767285,0.03574888],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4407659,"threshold_uncertainty_score":0.7976795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845537935367222,"score_gpt":0.2313171615570417,"score_spread":0.2128617822033695,"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."}}