{"id":"W6962147850","doi":"10.15468/dl.kd9g3m","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); State (computer science); 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":[0.0009760146,0.001895556,0.001545456,0.005059238,0.0009530394,0.002482284,0.0027641,0.002016384,0.1473688],"category_scores_gemma":[0.005499251,0.0008931762,0.001108946,0.009822391,0.0004541942,0.002144865,0.002427982,0.001987086,0.2028219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547287,"about_ca_system_score_gemma":0.002225164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066817,"about_ca_topic_score_gemma":0.0326065,"domain_scores_codex":[0.9990238,0.0001349986,0.0001265945,0.0003417144,0.0002078759,0.0001650768],"domain_scores_gemma":[0.9976721,0.0006551825,0.0002378691,0.0006086593,0.0005593815,0.000266858],"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":[0.00003068407,0.00001238205,0.0004369948,0.0006190041,0.00001756342,0.00001644476,0.00002601671,0.000155719,0.0001404218,0.0004155125,0.9966408,0.001488426],"study_design_scores_gemma":[0.0000750984,0.000008109552,0.001948292,0.0001967949,0.00001562799,0.00003780902,0.00007720414,0.0001544272,0.0001906103,0.000726938,0.9965514,0.00001765178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000442034,0.00002633692,0.00004155964,0.00003076178,0.00001134219,0.000004793776,0.998978,0.0003014917,0.0005615393],"genre_scores_gemma":[0.0001672779,0.0000322358,0.0001870754,0.00003825873,0.000003288208,0.00003987334,0.999003,0.0001217525,0.0004072766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8526312,"threshold_uncertainty_score":0.4929976,"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."}}