{"id":"W6905920086","doi":"10.15468/dl.rnqheh","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); Alien; 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":[0.0009457867,0.00192217,0.00152322,0.004658881,0.001029894,0.002609949,0.002743277,0.002043647,0.1757818],"category_scores_gemma":[0.00614377,0.0009170683,0.001235158,0.008716587,0.000432755,0.00250046,0.002562569,0.002064212,0.2404828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522267,"about_ca_system_score_gemma":0.002209724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112155,"about_ca_topic_score_gemma":0.03505718,"domain_scores_codex":[0.9990147,0.0001374464,0.0001158462,0.0003586588,0.0002149688,0.000158278],"domain_scores_gemma":[0.9975055,0.000742831,0.0002044688,0.0006662954,0.0006159299,0.0002649803],"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":[0.00002430205,0.00001109081,0.0003499691,0.000452219,0.00001250692,0.00001354842,0.00002275118,0.0001093519,0.00009739787,0.0003388945,0.9972188,0.001349129],"study_design_scores_gemma":[0.00006380509,0.000007976462,0.001782543,0.0001884429,0.00001323173,0.00003474644,0.00007981321,0.00015537,0.0001798272,0.0008294707,0.9966468,0.00001790258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004284145,0.00002612198,0.00005038054,0.00004207084,0.00001368157,0.000006115975,0.9986715,0.0004372402,0.0007101029],"genre_scores_gemma":[0.0001679781,0.00003287827,0.0002189321,0.00005167332,0.00000391218,0.00005018753,0.9987364,0.0001823794,0.0005556139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8242182,"threshold_uncertainty_score":0.5880487,"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."}}