{"id":"W6887283952","doi":"10.15468/dl.x95dfs","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.000988483,0.001999535,0.001671403,0.005059103,0.001023371,0.002629648,0.002889878,0.002098994,0.1593096],"category_scores_gemma":[0.005896483,0.0009410931,0.001190768,0.00996634,0.0004652794,0.002442013,0.002689379,0.002092193,0.2213277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512038,"about_ca_system_score_gemma":0.002283145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199282,"about_ca_topic_score_gemma":0.03472671,"domain_scores_codex":[0.9989502,0.000142596,0.0001346603,0.0003701976,0.0002300778,0.0001722464],"domain_scores_gemma":[0.9974948,0.0006869948,0.0002340254,0.0006839165,0.0006067563,0.000293423],"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":[0.0000296035,0.00001143889,0.0003682947,0.0005472103,0.00001469636,0.00001511184,0.00002476972,0.0001256115,0.0001195788,0.0003843379,0.9969824,0.001376989],"study_design_scores_gemma":[0.00007186221,0.000007690747,0.001706262,0.000180895,0.00001324861,0.00003540673,0.00007281124,0.0001364494,0.0001775722,0.0007838497,0.9967962,0.0000176707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004130687,0.00002618982,0.00004606985,0.00003401763,0.00001211445,0.000005281902,0.9988171,0.0003794742,0.0006385348],"genre_scores_gemma":[0.0001594881,0.00003256393,0.0002095347,0.00004367954,0.000003451856,0.00004172098,0.9988856,0.0001561149,0.0004678394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8406904,"threshold_uncertainty_score":0.5329438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}