{"id":"W6962206877","doi":"10.15468/dl.xyv2c6","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; UniProt","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":[0.001054187,0.001915047,0.00157362,0.004948427,0.001032809,0.002602478,0.00279553,0.002113748,0.1571783],"category_scores_gemma":[0.006390427,0.0009166499,0.00124394,0.00980358,0.0004663408,0.002403046,0.00259182,0.002097327,0.2215481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632718,"about_ca_system_score_gemma":0.002441111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229152,"about_ca_topic_score_gemma":0.03541592,"domain_scores_codex":[0.9988883,0.0001581985,0.0001403498,0.0003851437,0.0002462904,0.0001817048],"domain_scores_gemma":[0.9972591,0.0008013598,0.0002410114,0.0007445801,0.0006525957,0.000301317],"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":[0.00002871686,0.00001151591,0.0003567614,0.0005061901,0.00001361264,0.0000143538,0.00002304924,0.0001198345,0.0001153356,0.0003769046,0.9970783,0.001355448],"study_design_scores_gemma":[0.00006934455,0.000008840384,0.001902787,0.0001958313,0.00001383765,0.00003731114,0.00007655295,0.0001458915,0.0001937727,0.000767582,0.9965706,0.00001773619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000427123,0.00002628552,0.00004370751,0.00003880186,0.00001243076,0.000005461165,0.9988517,0.0003678003,0.0006112081],"genre_scores_gemma":[0.0001537089,0.00003342046,0.0001875624,0.0000446978,0.000003457071,0.0000423351,0.9989266,0.0001395958,0.0004686564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8428217,"threshold_uncertainty_score":0.5258137,"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."}}