{"id":"W6943625478","doi":"10.15468/dl.w6ueyz","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":[0.0009262463,0.002006133,0.001476683,0.004953889,0.0009494415,0.002423645,0.002526802,0.001928393,0.1634951],"category_scores_gemma":[0.006034506,0.0008789113,0.001175492,0.009713264,0.0004414321,0.002073639,0.002495329,0.001759911,0.219115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434115,"about_ca_system_score_gemma":0.002288021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064818,"about_ca_topic_score_gemma":0.03301037,"domain_scores_codex":[0.9989839,0.0001388398,0.0001299347,0.0003606557,0.0002135879,0.0001729929],"domain_scores_gemma":[0.9975739,0.0007121533,0.0002306451,0.0006030138,0.000611222,0.0002690728],"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":[0.00003250975,0.00001213305,0.0004263648,0.0005514901,0.00001394498,0.00001489601,0.00002253066,0.0001329316,0.0001248102,0.0003521761,0.9967996,0.001516564],"study_design_scores_gemma":[0.00007896834,0.0000109206,0.001984684,0.0001949481,0.00001521991,0.00003641213,0.00007232112,0.0001624829,0.0001996808,0.0008017612,0.9964235,0.00001908169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004852884,0.0000266421,0.00003994878,0.0000346417,0.00001251962,0.000005335701,0.9988222,0.0003778165,0.0006322663],"genre_scores_gemma":[0.0001755865,0.00003440028,0.0001978527,0.00004751423,0.000003823748,0.00004487665,0.9988581,0.000151118,0.0004866276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365049,"threshold_uncertainty_score":0.5469455,"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."}}