{"id":"W6962147632","doi":"10.15468/dl.t9cdht","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":"Matching (statistics); Download; Range (aeronautics); Identification (biology)","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":[0.0009679469,0.002034932,0.001647793,0.005166939,0.0009455713,0.002637264,0.002713205,0.001936987,0.1652297],"category_scores_gemma":[0.005719042,0.0009928085,0.001176841,0.009982745,0.0004210261,0.002262565,0.002530024,0.001906528,0.2189405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536873,"about_ca_system_score_gemma":0.002327366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01899065,"about_ca_topic_score_gemma":0.03163377,"domain_scores_codex":[0.9988926,0.000148765,0.0001438112,0.0004000536,0.000231917,0.0001828143],"domain_scores_gemma":[0.9975451,0.0006819124,0.0002512426,0.0006328442,0.0006018975,0.0002869223],"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":[0.00003507522,0.00001126716,0.0003747517,0.0006036427,0.00001659542,0.00001358923,0.00002038482,0.0001179576,0.0001258065,0.0003883251,0.9969036,0.001388998],"study_design_scores_gemma":[0.00008211312,0.000009210929,0.001891935,0.0001933164,0.00001614739,0.00003518161,0.00005580851,0.0001306131,0.0001859143,0.0007932344,0.9965876,0.00001891691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003461626,0.00002546085,0.00003456839,0.00002776461,0.000009841744,0.000004459495,0.9990189,0.0002839877,0.0005604602],"genre_scores_gemma":[0.000141652,0.00003545713,0.0001697372,0.00004626525,0.000003334181,0.00003795766,0.9989818,0.0001272393,0.0004566549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8347703,"threshold_uncertainty_score":0.5527486,"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."}}