{"id":"W6887036681","doi":"10.15468/dl.p4aafj","title":"Occurrence Download","year":2023,"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); Alien","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":[0.00102034,0.001995953,0.001609176,0.004938588,0.001047169,0.002629243,0.002805216,0.002200136,0.1673487],"category_scores_gemma":[0.006269002,0.0009418466,0.001280062,0.009409327,0.0004634818,0.002465318,0.002647815,0.002125708,0.226884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601518,"about_ca_system_score_gemma":0.002354049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02155378,"about_ca_topic_score_gemma":0.03475682,"domain_scores_codex":[0.9989095,0.0001527408,0.0001353762,0.000387636,0.0002343519,0.0001804004],"domain_scores_gemma":[0.9972886,0.0008087225,0.0002395242,0.0007316895,0.0006272409,0.0003041757],"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":[0.00002955099,0.00001175538,0.0003455635,0.000513294,0.00001372808,0.00001462375,0.00002311481,0.0001201484,0.0001159086,0.0003559455,0.9971359,0.001320569],"study_design_scores_gemma":[0.00007570109,0.000009342493,0.001914653,0.0001986489,0.00001463914,0.00003808988,0.00007712021,0.0001583959,0.0001939035,0.0008103704,0.9964901,0.00001906789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004078978,0.00002419071,0.00004225607,0.00003816808,0.0000121707,0.000005365994,0.9988644,0.000379486,0.0005931087],"genre_scores_gemma":[0.0001576018,0.00003201392,0.0001997707,0.00004745598,0.000003523686,0.00004314011,0.9989007,0.0001536913,0.0004621083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326514,"threshold_uncertainty_score":0.559837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}