{"id":"W6931293110","doi":"10.5281/zenodo.4213609","title":"globalbioticinteractions/globalbioticinteractions v0.19.4","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Search engine indexing; Extension (predicate logic); Interface (matter); Prefix; Identification (biology)","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002096626,0.0002893854,0.0002775536,0.0004648242,0.001123342,0.002127444,0.002809084,0.000148716,0.03661357],"category_scores_gemma":[0.0006651318,0.0003130542,0.0001162399,0.001186758,0.0001173826,0.0003826273,0.002160828,0.0004022008,0.03880984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002552239,"about_ca_system_score_gemma":0.00001566954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007968565,"about_ca_topic_score_gemma":0.000002522114,"domain_scores_codex":[0.9977074,0.0002859611,0.0003461738,0.000775881,0.0004934311,0.0003911049],"domain_scores_gemma":[0.9980168,0.00002405862,0.0002875505,0.0009853345,0.0002819429,0.0004043504],"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":[0.000004438453,0.0001057103,4.112225e-7,0.00005642639,0.00008246613,0.00002041898,0.0001336215,0.00001285806,0.00006064829,0.05087538,0.934921,0.01372656],"study_design_scores_gemma":[0.0002664983,0.00009916938,0.00001195353,0.00009304813,0.00003099022,0.0001314429,0.00009437836,0.00478105,0.00002393447,0.00013466,0.9940294,0.0003034633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[4.989865e-7,0.0001276297,0.2506106,0.002576726,0.0004821977,0.0002886684,0.0006077429,0.002764572,0.7425414],"genre_scores_gemma":[0.004798997,0.001832639,0.0191297,0.006903669,0.002293555,1.22292e-7,0.01879321,0.01721196,0.9290361],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2314809,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04252008696353927,"score_gpt":0.2966773307757311,"score_spread":0.2541572438121918,"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."}}