{"id":"W6943408085","doi":"10.15468/dl.mrggas","title":"Occurrence Download","year":2019,"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); Data set; Identification (biology)","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":[0.0009465759,0.001809171,0.001549334,0.00501017,0.0009021956,0.002496534,0.002722746,0.002005707,0.127561],"category_scores_gemma":[0.005331199,0.000782032,0.001041341,0.009813621,0.0004330936,0.001976153,0.002215792,0.001938076,0.1869827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569327,"about_ca_system_score_gemma":0.002188077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894745,"about_ca_topic_score_gemma":0.03441742,"domain_scores_codex":[0.99909,0.0001338302,0.0001199997,0.0003180283,0.0001960655,0.000142132],"domain_scores_gemma":[0.9979539,0.0006036439,0.0002179927,0.0004843404,0.0004918893,0.0002482783],"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":[0.00003544084,0.00001350632,0.0005268093,0.0007072105,0.00001960351,0.00001872316,0.00002827426,0.0001894472,0.0001348058,0.0005222846,0.9959549,0.001849093],"study_design_scores_gemma":[0.0000696632,0.000007016469,0.001834775,0.0001947887,0.00001433682,0.00003287849,0.0000655507,0.0001565623,0.0001550772,0.0007518422,0.996702,0.00001546521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004837785,0.00003617905,0.00004324887,0.00003203502,0.00001054565,0.000004595893,0.9989855,0.0002596645,0.0005798483],"genre_scores_gemma":[0.0001719231,0.00004200129,0.0002003953,0.00003777949,0.000003124537,0.00003857098,0.9989604,0.0001026468,0.0004431781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.872439,"threshold_uncertainty_score":0.4267341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683189234268691,"score_gpt":0.2028769809926557,"score_spread":0.1860450886499687,"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."}}