{"id":"W6943741083","doi":"10.15468/dl.sgbdux","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); 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":[0.001052491,0.001985659,0.001659691,0.005394984,0.0009686342,0.00266287,0.002782319,0.002080919,0.1607095],"category_scores_gemma":[0.006180875,0.0009296564,0.001245489,0.01036472,0.0004475125,0.002283078,0.002674206,0.001969782,0.225781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565121,"about_ca_system_score_gemma":0.00239699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005205,"about_ca_topic_score_gemma":0.03212118,"domain_scores_codex":[0.9988747,0.0001560236,0.000156573,0.0003737562,0.0002531148,0.0001857082],"domain_scores_gemma":[0.9973863,0.0007157141,0.0002572183,0.0006818724,0.0006571558,0.0003018542],"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":[0.00003252584,0.00001075397,0.0003598446,0.0005997041,0.00001716841,0.0000141345,0.00002223672,0.0001215702,0.0001237555,0.0003836873,0.9968289,0.001485746],"study_design_scores_gemma":[0.00007522506,0.000008263862,0.001794941,0.0002060806,0.00001564068,0.00003490911,0.00006236418,0.0001369061,0.0001899114,0.0008050281,0.996653,0.0000177061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003486801,0.00002658169,0.00003790402,0.00003222747,0.00001031826,0.000004849985,0.9989698,0.0003311774,0.0005522116],"genre_scores_gemma":[0.0001435376,0.00003489729,0.0001744811,0.00004614378,0.000003387418,0.00003709925,0.999025,0.0001332261,0.0004021619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8392905,"threshold_uncertainty_score":0.5376267,"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."}}