{"id":"W6924743821","doi":"10.15468/dl.uak3x6","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); Order (exchange); 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":[0.001131712,0.00193377,0.001634852,0.004981426,0.001058017,0.002704459,0.002911429,0.002083678,0.167979],"category_scores_gemma":[0.0065489,0.0009635221,0.001155047,0.00978741,0.0004630403,0.002356231,0.002640134,0.002097283,0.2220927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687503,"about_ca_system_score_gemma":0.002474267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317397,"about_ca_topic_score_gemma":0.0383632,"domain_scores_codex":[0.9989011,0.0001473374,0.0001418412,0.0003815545,0.0002544114,0.0001737195],"domain_scores_gemma":[0.9973221,0.0007840408,0.000248239,0.0006913839,0.0006599554,0.0002942737],"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":[0.00002730088,0.00001086648,0.000368925,0.0005349889,0.00001466407,0.00001446682,0.00002514639,0.0001198745,0.0001184367,0.0003926679,0.9969921,0.001380466],"study_design_scores_gemma":[0.00006562944,0.000007012962,0.001757906,0.0001864065,0.0000139287,0.00003312621,0.00007092967,0.0001347671,0.0001821125,0.0007203926,0.9968101,0.00001754317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003628216,0.0000231252,0.00004632824,0.00003320052,0.0000110634,0.000004870841,0.9988596,0.0003545708,0.0006309224],"genre_scores_gemma":[0.0001558372,0.00003105441,0.0002087975,0.00004154773,0.000003097928,0.00004383555,0.9988862,0.000164098,0.0004656055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.832021,"threshold_uncertainty_score":0.5619459,"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."}}