{"id":"W6943232222","doi":"10.15468/dl.qp8fnd","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); Alien; Range (aeronautics)","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":[0.0009339156,0.002034719,0.001500478,0.005147448,0.0009911068,0.00243268,0.002577707,0.001947243,0.1648165],"category_scores_gemma":[0.005960348,0.0008672738,0.00115888,0.01015248,0.0004594933,0.002091664,0.002522927,0.001773424,0.2231954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481359,"about_ca_system_score_gemma":0.002325124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081387,"about_ca_topic_score_gemma":0.03347567,"domain_scores_codex":[0.9989848,0.0001383341,0.0001288893,0.0003575927,0.0002149117,0.0001755293],"domain_scores_gemma":[0.9975764,0.0006992499,0.0002347229,0.0006029379,0.0006151322,0.0002714646],"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":[0.00003241733,0.00001199305,0.0004078657,0.0005588522,0.0000133051,0.00001510977,0.00002333272,0.0001293193,0.0001310519,0.0003626382,0.9967985,0.001515768],"study_design_scores_gemma":[0.00007620128,0.00001070296,0.001869878,0.0001946807,0.00001450039,0.00003700722,0.00007403777,0.0001495076,0.0002002683,0.0007653374,0.9965894,0.00001850229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004794854,0.00002733574,0.00003905419,0.00003335697,0.00001249841,0.00000535594,0.998822,0.0003610844,0.0006512981],"genre_scores_gemma":[0.0001681218,0.00003466822,0.0001978449,0.00004534145,0.000003765388,0.00004498114,0.9988797,0.0001445311,0.000481046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351835,"threshold_uncertainty_score":0.5513662,"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."}}