{"id":"W6887374718","doi":"10.15468/dl.zf3wcp","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":[0.001034805,0.001979519,0.001557961,0.004957153,0.001002683,0.002462385,0.002848295,0.002149018,0.1458551],"category_scores_gemma":[0.00587236,0.0008857041,0.00117548,0.009369848,0.0004610379,0.002319491,0.002501382,0.00210186,0.2062851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575037,"about_ca_system_score_gemma":0.002286811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028396,"about_ca_topic_score_gemma":0.03506073,"domain_scores_codex":[0.9989201,0.0001589161,0.000137143,0.0003801329,0.0002288741,0.0001748225],"domain_scores_gemma":[0.9974014,0.0007547978,0.0002513797,0.0006866079,0.000609364,0.0002965628],"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":[0.00002897081,0.00001295686,0.0004007773,0.000522374,0.00001507099,0.00001508991,0.0000243111,0.0001400203,0.0001142323,0.0003881771,0.9969804,0.001357572],"study_design_scores_gemma":[0.00007537522,0.000008870922,0.001892018,0.0001915097,0.0000145758,0.00003896277,0.00007866209,0.0001746577,0.0001859232,0.0008309755,0.9964897,0.0000188119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004603497,0.00002718362,0.00004736167,0.00003768303,0.00001292159,0.000005404848,0.9988502,0.0003595222,0.0006135922],"genre_scores_gemma":[0.0001606641,0.00003071549,0.0002043313,0.00004390239,0.000003453111,0.00004146866,0.9989457,0.0001298872,0.00043993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8541449,"threshold_uncertainty_score":0.487934,"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."}}