{"id":"W6943240055","doi":"10.15468/dl.mh7gdz","title":"Occurrence Download","year":2022,"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; State (computer science)","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":[0.000968912,0.001954799,0.001596499,0.004923983,0.0009714581,0.002618111,0.002831062,0.002108555,0.1435591],"category_scores_gemma":[0.005806693,0.0008740058,0.001206069,0.00951012,0.0004472581,0.002152597,0.002438248,0.002040308,0.2077948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517645,"about_ca_system_score_gemma":0.002216204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0183791,"about_ca_topic_score_gemma":0.03093443,"domain_scores_codex":[0.9990319,0.0001374591,0.0001218419,0.0003506789,0.0002048489,0.0001532975],"domain_scores_gemma":[0.9976751,0.0007104486,0.0002241602,0.0005769115,0.0005359646,0.000277394],"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":[0.00003305621,0.00001343666,0.0004467367,0.0006576767,0.00001718236,0.00001777119,0.00002609238,0.0001594932,0.0001244138,0.0004235712,0.9964947,0.001585758],"study_design_scores_gemma":[0.00007857452,0.000008665709,0.001831833,0.0002014783,0.00001504127,0.00003608062,0.00007271004,0.0001811004,0.0001705664,0.0008214285,0.9965659,0.00001674969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004612166,0.00003103918,0.00004547149,0.0000369738,0.00001175139,0.000005513114,0.9988605,0.0003628492,0.0005997427],"genre_scores_gemma":[0.0001685848,0.00003895384,0.0002173997,0.00004789787,0.000003690811,0.00004669591,0.9988908,0.0001415937,0.0004443069],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8564409,"threshold_uncertainty_score":0.4802531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383425739114906,"score_gpt":0.1961866182594779,"score_spread":0.1823523608683289,"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."}}