{"id":"W6942943797","doi":"10.15468/dl.7gv2er","title":"Occurrence Download","year":2025,"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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0008987302,0.002139537,0.001572677,0.004707101,0.0009626738,0.002551706,0.0028094,0.001978799,0.1251548],"category_scores_gemma":[0.005922461,0.0008506115,0.001235455,0.009344627,0.0004266847,0.002032055,0.002320826,0.001865965,0.1790339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627874,"about_ca_system_score_gemma":0.002441752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02406365,"about_ca_topic_score_gemma":0.04071806,"domain_scores_codex":[0.9989685,0.0001406974,0.0001362342,0.0003645452,0.0002323677,0.0001577388],"domain_scores_gemma":[0.9977658,0.0006509377,0.0002237108,0.0005442249,0.000555874,0.0002595595],"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":[0.00003732529,0.00001355062,0.0004552744,0.0005989765,0.00001769941,0.00001742752,0.00002490596,0.0001617132,0.0001187304,0.0004317205,0.9964867,0.001635874],"study_design_scores_gemma":[0.0000817707,0.000009945297,0.001848981,0.0001823541,0.00001602678,0.00004072407,0.00006526631,0.0002134023,0.0001885479,0.0008375507,0.9964976,0.00001800086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005287214,0.00003539577,0.0000487515,0.00003585148,0.00001114915,0.000005490536,0.9986938,0.0004799081,0.0006368833],"genre_scores_gemma":[0.0001655692,0.00003988707,0.0002250086,0.00004340818,0.000003024791,0.00003794779,0.998903,0.0001435522,0.0004385231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8748452,"threshold_uncertainty_score":0.4186845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094243843989488,"score_gpt":0.1997606131298545,"score_spread":0.1888181746899596,"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."}}