{"id":"W6962435517","doi":"10.15468/dl.x5x33u","title":"Occurrence Download","year":2021,"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); Information system; Confidentiality","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":[0.0009730129,0.001939391,0.001631831,0.005591245,0.0009351211,0.002440512,0.002736104,0.001989626,0.1764319],"category_scores_gemma":[0.005960131,0.0009006131,0.001184612,0.01048917,0.0004300204,0.002235006,0.002584681,0.001938871,0.235926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559432,"about_ca_system_score_gemma":0.002346007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029368,"about_ca_topic_score_gemma":0.03494415,"domain_scores_codex":[0.998914,0.0001375378,0.0001449792,0.0003696057,0.0002474026,0.0001864689],"domain_scores_gemma":[0.9972904,0.0007079691,0.0002581796,0.0007198651,0.0006914912,0.0003321103],"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":[0.00002763154,0.00001021158,0.0003439171,0.0005230746,0.00001482853,0.00001374561,0.00001913112,0.000114349,0.0001247738,0.0003222339,0.9970811,0.001404987],"study_design_scores_gemma":[0.00007086387,0.000008521651,0.001971588,0.0001812697,0.00001518337,0.00003370918,0.00006298412,0.0001335842,0.000197551,0.0006426995,0.9966646,0.00001750388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003381844,0.00002187595,0.00003445484,0.00002798614,0.00001019836,0.000004794668,0.9990381,0.0003016295,0.000527133],"genre_scores_gemma":[0.000135504,0.00002843528,0.00016228,0.00003592058,0.00000320493,0.00003562433,0.999033,0.0001164064,0.0004496327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8235681,"threshold_uncertainty_score":0.5902234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}