{"id":"W6943860318","doi":"10.15468/dl.v5v2t9","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001054452,0.001889549,0.001680507,0.004849656,0.0009588978,0.002716742,0.002872382,0.002198257,0.1333691],"category_scores_gemma":[0.006026675,0.0008687319,0.001153995,0.009940468,0.0004499953,0.002063793,0.002428409,0.002098205,0.1883472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714913,"about_ca_system_score_gemma":0.002456523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213052,"about_ca_topic_score_gemma":0.03771427,"domain_scores_codex":[0.9989669,0.0001491787,0.0001311735,0.0003606364,0.0002312172,0.0001607993],"domain_scores_gemma":[0.9975755,0.0007551239,0.0002478043,0.0005635293,0.0005694476,0.0002886604],"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":[0.00003388683,0.00001354174,0.0004462838,0.0007001184,0.00001865297,0.00001761364,0.00002699288,0.0001613504,0.0001239758,0.0004716511,0.9964913,0.00149464],"study_design_scores_gemma":[0.00008264828,0.000008242697,0.001872972,0.0002125499,0.00001568019,0.0000342839,0.00006907425,0.0001614049,0.0001720909,0.000804514,0.9965495,0.00001706738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003950649,0.00003011598,0.00003875211,0.00003410658,0.000009460069,0.000004839187,0.9990087,0.0002824967,0.0005521386],"genre_scores_gemma":[0.0001578207,0.00003966161,0.000193105,0.00004348944,0.000003034251,0.00004350098,0.9989737,0.0001130066,0.0004327332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8666309,"threshold_uncertainty_score":0.446164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721721760522909,"score_gpt":0.2053800604460365,"score_spread":0.1881628428408074,"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."}}