{"id":"W6887063775","doi":"10.15468/dl.m4mh8w","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); Base (topology); Reference data","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":[0.0008762613,0.002391375,0.001785351,0.005087624,0.001293992,0.00344844,0.003163956,0.002461401,0.2072132],"category_scores_gemma":[0.006309454,0.0009699122,0.001678228,0.008319275,0.0004024006,0.00388863,0.003504447,0.002301851,0.2968737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772154,"about_ca_system_score_gemma":0.002355774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02168686,"about_ca_topic_score_gemma":0.03938831,"domain_scores_codex":[0.9988081,0.0001336057,0.0001440776,0.0004336681,0.0002786356,0.0002018612],"domain_scores_gemma":[0.99764,0.0005642094,0.0001720623,0.0007124553,0.0006325243,0.0002787172],"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":[0.00003669922,0.00001358711,0.0003240789,0.0004437958,0.00001120917,0.00001896935,0.00002196223,0.0001030483,0.00008768887,0.0003977151,0.9957883,0.00275298],"study_design_scores_gemma":[0.00005365879,0.00001106891,0.001256572,0.0001647039,0.00001056919,0.00004749447,0.00008627369,0.0002849815,0.0001800038,0.0009730591,0.9969126,0.00001888606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007685798,0.00006027534,0.0001310224,0.00007865256,0.00003072812,0.00001198531,0.9960251,0.001978135,0.001607342],"genre_scores_gemma":[0.0002525729,0.00005772876,0.0005247563,0.00009236096,0.000008032041,0.00005232357,0.9975684,0.0004362144,0.001007538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7927868,"threshold_uncertainty_score":0.6931974,"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."}}