{"id":"W6887115763","doi":"10.15468/dl.r4psef","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)","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":[0.001156768,0.001937286,0.001601865,0.00503901,0.00102989,0.002702685,0.002886881,0.002037189,0.1616954],"category_scores_gemma":[0.006598872,0.0009738545,0.001157903,0.009806968,0.0004665146,0.002356836,0.002618641,0.002050796,0.220199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643799,"about_ca_system_score_gemma":0.002437128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02149258,"about_ca_topic_score_gemma":0.03403531,"domain_scores_codex":[0.9988648,0.0001566231,0.0001517338,0.0003936276,0.0002559965,0.0001773084],"domain_scores_gemma":[0.9971924,0.0008147358,0.0002588069,0.0007375522,0.0006958434,0.000300635],"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":[0.00002902227,0.00001120581,0.0003783322,0.0005532845,0.00001550937,0.0000160079,0.0000251631,0.0001215595,0.0001213073,0.0004095725,0.9970328,0.001286303],"study_design_scores_gemma":[0.00007281505,0.000007512354,0.001816721,0.000192467,0.00001470892,0.00003767589,0.0000756982,0.00014264,0.0001969341,0.0007792364,0.9966449,0.00001864877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003636083,0.00002298826,0.00004608167,0.00003409564,0.00001110733,0.000005140593,0.9988884,0.0003472377,0.0006085075],"genre_scores_gemma":[0.0001574402,0.00003146315,0.0001984648,0.00004194324,0.00000330476,0.00004427812,0.9989277,0.000155907,0.000439466],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383046,"threshold_uncertainty_score":0.5409249,"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."}}