{"id":"W6905982254","doi":"10.15468/dl.ygrfep","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); State (computer science); Confidentiality","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":[0.0009872796,0.001887257,0.001501237,0.005054363,0.0009651419,0.00241765,0.002790672,0.002014422,0.1550956],"category_scores_gemma":[0.005601116,0.0009020186,0.001073249,0.01012342,0.0004420788,0.002136448,0.002436498,0.002064925,0.2067827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632232,"about_ca_system_score_gemma":0.002262668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068131,"about_ca_topic_score_gemma":0.03439958,"domain_scores_codex":[0.9990275,0.0001336828,0.000121493,0.0003374658,0.0002169402,0.0001628986],"domain_scores_gemma":[0.9976139,0.000682274,0.0002332291,0.0006327369,0.0005568234,0.0002811159],"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":[0.0000273058,0.00001266131,0.0003651952,0.0004902112,0.00001370726,0.00001447975,0.00002337661,0.000137793,0.0001243791,0.0004109171,0.9970348,0.001345081],"study_design_scores_gemma":[0.00007380285,0.000007985964,0.001917833,0.0001712409,0.00001304213,0.00003510833,0.00007436943,0.000157929,0.0001837353,0.000737369,0.9966111,0.00001635641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004449542,0.00002301705,0.00004112914,0.00003277381,0.000011113,0.000005122317,0.9988908,0.0003103529,0.0006412589],"genre_scores_gemma":[0.0001538786,0.00002863829,0.0001880694,0.00003699963,0.000003165913,0.00004209575,0.9989609,0.0001297385,0.000456582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449044,"threshold_uncertainty_score":0.5188463,"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."}}