{"id":"W6887036858","doi":"10.15468/dl.jaykmb","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Egretta; Matching (statistics); Download; Range (aeronautics); Polygon (computer graphics)","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":[0.0009065273,0.002359881,0.002002167,0.005696031,0.001276904,0.003823595,0.003276861,0.002273108,0.2229474],"category_scores_gemma":[0.007091035,0.001043821,0.001701794,0.01036874,0.0003978763,0.003845699,0.003446536,0.00227818,0.3471646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726035,"about_ca_system_score_gemma":0.002510235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863001,"about_ca_topic_score_gemma":0.03093802,"domain_scores_codex":[0.9986542,0.0001558256,0.0001749182,0.0004928301,0.0003043828,0.0002177451],"domain_scores_gemma":[0.9973451,0.0006331496,0.0002098926,0.0007603369,0.0007692342,0.0002822889],"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":[0.00003719663,0.00001150391,0.0003565337,0.0005235269,0.00001408208,0.00001873788,0.00002185779,0.0001024065,0.00009227148,0.0003700862,0.9957395,0.002712303],"study_design_scores_gemma":[0.00004553534,0.000008900957,0.001053104,0.0001628708,0.00001175599,0.00004018798,0.00006857453,0.0001874193,0.0001577024,0.0007710012,0.9974769,0.00001606406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006009639,0.00006268118,0.0001040121,0.0000726413,0.00002890229,0.000008851158,0.9968178,0.001528076,0.001316831],"genre_scores_gemma":[0.0002119736,0.00007280015,0.0004023243,0.00008657748,0.000007558537,0.00004893513,0.99768,0.0004565176,0.001033317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7770525,"threshold_uncertainty_score":0.7458335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}