{"id":"W6962157729","doi":"10.15468/dl.ym8n3n","title":"Occurrence Download","year":2022,"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); Confidentiality; Order (exchange)","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":[0.001148243,0.001975008,0.001703031,0.005286502,0.001074945,0.00285689,0.003046482,0.002071813,0.1724374],"category_scores_gemma":[0.006582325,0.0009927583,0.001195538,0.01039645,0.0004708609,0.002492812,0.00271455,0.002129117,0.2312686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610259,"about_ca_system_score_gemma":0.002445946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073505,"about_ca_topic_score_gemma":0.03491663,"domain_scores_codex":[0.9988323,0.0001624543,0.0001554041,0.0004062511,0.0002566829,0.0001868634],"domain_scores_gemma":[0.9972818,0.0007893764,0.0002524137,0.0007191866,0.0006534855,0.0003037069],"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":[0.00002804702,0.00001035318,0.0003427939,0.0005559858,0.00001527665,0.00001509174,0.00002475458,0.0001144298,0.0001138096,0.0004076226,0.9970627,0.001309119],"study_design_scores_gemma":[0.00006722464,0.0000068562,0.001557439,0.0001898763,0.00001424481,0.00003529924,0.00006922767,0.0001235358,0.0001687566,0.0007682763,0.9969823,0.00001706218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003447828,0.000024638,0.00004617903,0.00003357168,0.0000113373,0.000004910079,0.9988647,0.0003478409,0.0006324633],"genre_scores_gemma":[0.0001432255,0.00003292091,0.0001965616,0.0000428977,0.00000327299,0.00004148389,0.9989209,0.0001604794,0.0004581971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8275626,"threshold_uncertainty_score":0.5768607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}