{"id":"W6943397499","doi":"10.15468/dl.rgr28y","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":[0.0009425692,0.002195526,0.001679967,0.004947967,0.001134871,0.002841284,0.00319877,0.002305913,0.1661979],"category_scores_gemma":[0.006118091,0.00102481,0.001286168,0.009868029,0.0004820991,0.002606171,0.002788416,0.002232382,0.2326679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830506,"about_ca_system_score_gemma":0.002512867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556258,"about_ca_topic_score_gemma":0.04209271,"domain_scores_codex":[0.999003,0.0001262831,0.0001189704,0.00034618,0.0002367371,0.0001688656],"domain_scores_gemma":[0.9978136,0.0006341907,0.0001817865,0.0005645258,0.0005649473,0.0002408762],"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":[0.00002769018,0.00001146082,0.0003321544,0.000546893,0.00001446673,0.00001656969,0.00002734275,0.0001219613,0.0001209336,0.0004240076,0.9968835,0.001473063],"study_design_scores_gemma":[0.00006653302,0.000006848601,0.001436569,0.0001939077,0.00001395462,0.00004056534,0.00008017329,0.000164431,0.0002119121,0.0008366731,0.9969302,0.00001825472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000429163,0.00003209024,0.00006084896,0.00004051854,0.00001283707,0.00000588026,0.9984596,0.0005632681,0.000782121],"genre_scores_gemma":[0.0001714883,0.0000381025,0.0002553103,0.00004711272,0.000003272464,0.00004547231,0.9987395,0.0002162651,0.000483542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8338021,"threshold_uncertainty_score":0.5559875,"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."}}