{"id":"W6924707283","doi":"10.15468/dl.zgg558","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); Affine transformation; 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":[0.0010117,0.002006995,0.001616274,0.004770197,0.001022848,0.002544269,0.002837436,0.002208602,0.1328358],"category_scores_gemma":[0.00586958,0.0008723651,0.001326528,0.009040852,0.0004634892,0.002229318,0.002481573,0.002071461,0.2032541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600798,"about_ca_system_score_gemma":0.002347887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02175793,"about_ca_topic_score_gemma":0.03586484,"domain_scores_codex":[0.9988877,0.0001613515,0.0001372634,0.0003930773,0.0002373409,0.0001833054],"domain_scores_gemma":[0.9974571,0.0007375833,0.0002309263,0.0006958807,0.0006032402,0.0002753087],"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":[0.00003316728,0.00001359626,0.0004582409,0.0005527989,0.00001653578,0.00001654873,0.00002363731,0.0001468023,0.0001265888,0.0003671453,0.9967315,0.001513301],"study_design_scores_gemma":[0.00008084974,0.00001118278,0.002280411,0.0002232748,0.00001743132,0.00004475301,0.00008556447,0.0001924912,0.0002200165,0.0008523535,0.9959714,0.0000201871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005164685,0.00003209108,0.00004527869,0.00003971478,0.00001364446,0.000005551373,0.9988601,0.0003868738,0.000565091],"genre_scores_gemma":[0.0001659824,0.00003286356,0.0001846173,0.00004484434,0.000003423511,0.00003853298,0.9990047,0.000115354,0.0004097756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8671642,"threshold_uncertainty_score":0.44438,"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."}}