{"id":"W6943623901","doi":"10.15468/dl.r4zkpt","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009512582,0.001992237,0.001480243,0.004601633,0.0009530358,0.002430719,0.002621447,0.001907571,0.1634699],"category_scores_gemma":[0.005933356,0.0009189826,0.001208891,0.009340744,0.0004350791,0.002180277,0.002499269,0.001837715,0.2134372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453816,"about_ca_system_score_gemma":0.002281957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031356,"about_ca_topic_score_gemma":0.03293528,"domain_scores_codex":[0.9989794,0.0001395202,0.0001281028,0.0003707077,0.0002100063,0.000172206],"domain_scores_gemma":[0.9975852,0.0007068714,0.0002265141,0.0006227823,0.0005829868,0.0002756375],"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":[0.00003182338,0.00001182367,0.0004015788,0.0005058317,0.0000142161,0.00001384031,0.00002077901,0.0001334666,0.0001180839,0.0003643471,0.996938,0.001446266],"study_design_scores_gemma":[0.00008122544,0.00001080649,0.001947039,0.000185907,0.00001548311,0.00003753372,0.00006863011,0.000166387,0.0002062861,0.000845335,0.9964163,0.00001898243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004722319,0.0000247528,0.00004240134,0.00003385983,0.00001256307,0.000005084598,0.9988413,0.0003755849,0.0006172143],"genre_scores_gemma":[0.0001636024,0.00003173039,0.0001940986,0.00004714446,0.000003499483,0.00004134892,0.9988883,0.0001516626,0.000478643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365301,"threshold_uncertainty_score":0.5468613,"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."}}