{"id":"W6887137069","doi":"10.15468/dl.p8xbcc","title":"Occurrence Download","year":2023,"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; Order (exchange)","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":[0.0009206614,0.001929725,0.001484904,0.004441353,0.001018118,0.002307559,0.002823168,0.002063871,0.139396],"category_scores_gemma":[0.0051891,0.0008560927,0.00115454,0.008838512,0.0004540628,0.00210664,0.002445267,0.002007922,0.2060614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625047,"about_ca_system_score_gemma":0.002316097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02360843,"about_ca_topic_score_gemma":0.03930063,"domain_scores_codex":[0.9990776,0.0001196172,0.0001158184,0.0003222811,0.000211246,0.0001534624],"domain_scores_gemma":[0.9979098,0.000557623,0.0001966421,0.0005707032,0.0005077072,0.0002574965],"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":[0.0000285363,0.00001240268,0.0004120966,0.0004666033,0.00001376639,0.00001623842,0.00002656813,0.0001346927,0.0001393915,0.0003875033,0.9968684,0.001493734],"study_design_scores_gemma":[0.00006889858,0.00000807537,0.001948791,0.0001637393,0.00001337128,0.00004075349,0.00008205391,0.0001794615,0.000211815,0.0007601534,0.9965047,0.00001817998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005152712,0.00002539559,0.00005353228,0.00003640231,0.00001257369,0.00000562692,0.9987338,0.0004329555,0.0006481577],"genre_scores_gemma":[0.0001742003,0.00002805972,0.0002263403,0.00004209813,0.000003079441,0.00004219741,0.9989125,0.0001482919,0.0004232382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.860604,"threshold_uncertainty_score":0.4663262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}