{"id":"W6931659582","doi":"10.5281/zenodo.7840018","title":"IPBES Invasive Alien Species Assessment: data management report of chapter 6. Supplementary material 6.3 Table of knowledge and data gaps","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Table (database); Alien species; Alien; Introduced species; Invasive species; Biodiversity","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":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000917097,0.0001543857,0.0002302643,0.0003491417,0.0002857221,0.0003479292,0.003889621,0.00005733109,0.0148667],"category_scores_gemma":[0.00007207404,0.0001577813,0.00001709182,0.0003218038,0.0001451524,0.0005555996,0.01612439,0.0001102769,0.0003418325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003378804,"about_ca_system_score_gemma":0.000009617347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001138855,"about_ca_topic_score_gemma":0.00001562065,"domain_scores_codex":[0.9982985,0.0001099149,0.0004231867,0.0005438027,0.0004138113,0.0002107498],"domain_scores_gemma":[0.997062,0.00001532724,0.0003821564,0.002290132,0.0001786999,0.00007170593],"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":[0.00000658243,0.00005719118,0.000004834529,0.0004615813,0.0001298775,0.00003593144,0.0005326613,4.340917e-7,0.00007511032,0.04161163,0.9450117,0.01207241],"study_design_scores_gemma":[0.000268066,0.00005151696,0.0001673757,0.0001345284,0.00002381158,0.00005133915,0.0001932305,0.0003303901,0.0001809002,0.00006682791,0.9983877,0.0001443255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006698823,0.00007330888,0.005061843,0.0002933656,0.0003893948,0.0006637382,0.01370392,0.0005622927,0.9791852],"genre_scores_gemma":[0.04373112,0.01486853,0.05403943,0.0004052439,0.001832049,8.449002e-7,0.3998213,0.01932023,0.4659812],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5132039,"threshold_uncertainty_score":0.991833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0606468670955146,"score_gpt":0.2910156551538755,"score_spread":0.2303687880583609,"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."}}