{"id":"W6887174970","doi":"10.15468/dl.r8wtmb","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); Data set; Set (abstract data type)","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":[0.001136764,0.00192355,0.001690198,0.005508049,0.001040711,0.002859419,0.00300634,0.002022395,0.1736277],"category_scores_gemma":[0.006662283,0.001007052,0.001183028,0.01098131,0.0004695157,0.00244794,0.002737054,0.002062983,0.2288799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581322,"about_ca_system_score_gemma":0.002400578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205144,"about_ca_topic_score_gemma":0.03265847,"domain_scores_codex":[0.9988573,0.0001541052,0.0001547931,0.0003981273,0.0002534546,0.0001821819],"domain_scores_gemma":[0.9972634,0.0007890186,0.0002606686,0.0007233585,0.0006597353,0.0003038094],"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":[0.0000293779,0.00001048092,0.0003638276,0.000597261,0.00001631699,0.00001593661,0.00002672078,0.0001168028,0.0001202784,0.0004191209,0.9968488,0.001435018],"study_design_scores_gemma":[0.00006443664,0.000006812219,0.001686457,0.0001962606,0.00001475592,0.00003643025,0.00007572368,0.0001192017,0.000172781,0.0007436624,0.9968663,0.00001719787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003581589,0.00002497326,0.00004787124,0.00003278725,0.00001103546,0.000004884398,0.9988592,0.0003624228,0.0006210529],"genre_scores_gemma":[0.000153714,0.00003485335,0.0002026369,0.00004198619,0.000003255796,0.00004216761,0.9988964,0.0001771755,0.0004478709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8263723,"threshold_uncertainty_score":0.5808426,"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."}}