{"id":"W6906188971","doi":"10.15468/dl.yn7fg7","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; Alien; Range (aeronautics); 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":[0.0008930605,0.002064192,0.001500093,0.004877099,0.0009474024,0.002404182,0.002549222,0.001916081,0.1651213],"category_scores_gemma":[0.005758188,0.0008791727,0.001179701,0.009573762,0.0004336057,0.002086902,0.002470823,0.001758923,0.2198637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464956,"about_ca_system_score_gemma":0.002241455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091825,"about_ca_topic_score_gemma":0.03347355,"domain_scores_codex":[0.9990172,0.0001329021,0.0001246277,0.0003537516,0.0002040472,0.0001674924],"domain_scores_gemma":[0.9976786,0.0006758376,0.00022506,0.0005771411,0.0005798087,0.0002636094],"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":[0.00003218803,0.00001183087,0.0004152441,0.0005348476,0.00001397313,0.00001445841,0.00002142562,0.0001300595,0.0001195135,0.0003400913,0.9969084,0.001458095],"study_design_scores_gemma":[0.00008409586,0.00001121468,0.002058644,0.0001942871,0.00001556883,0.00003786581,0.00007111175,0.0001672637,0.0002048227,0.0007992309,0.9963363,0.00001944962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004765052,0.00002662389,0.00003858334,0.00003324192,0.00001212889,0.000005238067,0.9988518,0.0003621524,0.0006226011],"genre_scores_gemma":[0.0001707643,0.00003413625,0.0001876058,0.0000460219,0.000003769488,0.00004433978,0.9988828,0.0001466128,0.0004837881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348787,"threshold_uncertainty_score":0.5523857,"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."}}