{"id":"W6924766950","doi":"10.15468/dl.tuu96n","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); Order (exchange); 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":[0.001120173,0.00200654,0.001673102,0.00501719,0.001040855,0.002713146,0.002959523,0.002051529,0.1628404],"category_scores_gemma":[0.006407308,0.0009635175,0.001182602,0.01009047,0.0004539309,0.002398331,0.002608943,0.002056196,0.230666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681179,"about_ca_system_score_gemma":0.002440378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313694,"about_ca_topic_score_gemma":0.03728085,"domain_scores_codex":[0.9988763,0.0001474571,0.0001457659,0.0003855861,0.0002629515,0.0001820422],"domain_scores_gemma":[0.9974261,0.0007227087,0.0002413567,0.0006758615,0.000645166,0.0002888045],"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":[0.00002670578,0.000009849482,0.0003419099,0.000485254,0.00001465444,0.00001418668,0.00002275967,0.0001157254,0.0001081319,0.0003780667,0.9971667,0.001316064],"study_design_scores_gemma":[0.00006362833,0.000006702988,0.001687305,0.0001771225,0.00001390035,0.0000355465,0.00006650878,0.0001367294,0.0001867353,0.000753006,0.996855,0.00001762993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003408284,0.00002475277,0.00004733121,0.00003337409,0.00001116001,0.000004764277,0.9988126,0.0003878585,0.0006440075],"genre_scores_gemma":[0.0001397148,0.00002987952,0.0001903586,0.00003983858,0.000003032689,0.00003718134,0.9989779,0.0001616393,0.0004205771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371596,"threshold_uncertainty_score":0.5447553,"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."}}