{"id":"W6943588200","doi":"10.15468/dl.w9df4d","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); Set (abstract data type); Data set","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":[0.001114647,0.001956191,0.001617242,0.005127732,0.001065828,0.002657305,0.002903071,0.001991523,0.1640144],"category_scores_gemma":[0.006432544,0.0009569734,0.001129029,0.01015052,0.0004558596,0.002320284,0.002633904,0.002045471,0.2275416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668161,"about_ca_system_score_gemma":0.002482998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02370479,"about_ca_topic_score_gemma":0.03920059,"domain_scores_codex":[0.9988876,0.0001473101,0.0001431012,0.0003819994,0.000258765,0.0001811894],"domain_scores_gemma":[0.9974245,0.0007239326,0.0002430265,0.0006752657,0.0006410844,0.0002922147],"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":[0.00002642583,0.00001011297,0.0003502019,0.0004790956,0.00001337543,0.00001416937,0.00002397162,0.0001081563,0.0001112049,0.0003798811,0.997177,0.001306341],"study_design_scores_gemma":[0.0000619423,0.000006660543,0.001739217,0.0001762382,0.00001278769,0.00003460075,0.00007076449,0.0001254402,0.0001779703,0.0007036079,0.9968741,0.00001680964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003861483,0.00002436982,0.0000472891,0.00003345866,0.00001113651,0.000004849858,0.9987969,0.0003707478,0.0006726394],"genre_scores_gemma":[0.0001528064,0.00003057897,0.0001959389,0.00004009334,0.00000309951,0.00004142585,0.9989027,0.0001672949,0.0004661889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359856,"threshold_uncertainty_score":0.5486828,"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."}}