{"id":"W6943522893","doi":"10.15468/dl.u893dz","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); Ursus; Data collection","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":[0.0008261895,0.001878557,0.001488011,0.004571615,0.0009250397,0.002547635,0.002811351,0.002060933,0.1190986],"category_scores_gemma":[0.005344257,0.0008073509,0.001134117,0.009259169,0.0004138158,0.002183238,0.00225137,0.001987104,0.1819321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617243,"about_ca_system_score_gemma":0.002108389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02035483,"about_ca_topic_score_gemma":0.03615633,"domain_scores_codex":[0.9990692,0.0001315992,0.0001190857,0.0003351759,0.0002045026,0.0001405067],"domain_scores_gemma":[0.9981134,0.0005324578,0.0001670005,0.0004820688,0.0004878131,0.000217176],"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":[0.0000357611,0.00001488308,0.0005049016,0.0006199474,0.00001784286,0.00001918099,0.0000249075,0.0001865142,0.0001174953,0.0004516285,0.9960847,0.00192217],"study_design_scores_gemma":[0.00006750604,0.000007453714,0.00159705,0.0001771422,0.00001284687,0.00003739656,0.00006885645,0.0002111575,0.0001703747,0.0007763742,0.9968587,0.00001519185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005651538,0.00004085947,0.0000559833,0.0000395936,0.00001179539,0.000005685885,0.9986225,0.0004415101,0.0007256027],"genre_scores_gemma":[0.0001925901,0.00004627295,0.0002491001,0.00004771978,0.000003207627,0.00003926472,0.9987909,0.000135173,0.0004959016],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8809014,"threshold_uncertainty_score":0.3984246,"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."}}