{"id":"W6905731842","doi":"10.15468/dl.pxtgkp","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); Real world data","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":[0.001008624,0.001983857,0.001614892,0.004648652,0.001030493,0.002607079,0.002908778,0.00212249,0.1560223],"category_scores_gemma":[0.005968108,0.0009058521,0.001153417,0.009158971,0.0004482839,0.002571183,0.002631633,0.002084323,0.225657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573585,"about_ca_system_score_gemma":0.00230551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037557,"about_ca_topic_score_gemma":0.03690072,"domain_scores_codex":[0.9989412,0.0001521634,0.0001257208,0.000382701,0.0002308404,0.0001673128],"domain_scores_gemma":[0.9974825,0.0006828643,0.0002257942,0.0007016271,0.0006110182,0.0002961697],"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":[0.00002735672,0.00001123489,0.0003373078,0.0004712206,0.0000129129,0.00001361958,0.00002189266,0.0001124763,0.0001009362,0.0003729762,0.9972398,0.001278256],"study_design_scores_gemma":[0.0000668065,0.000007407034,0.00156119,0.000168289,0.00001168232,0.00003280534,0.00006547556,0.0001412949,0.0001671242,0.0008331988,0.9969276,0.00001707835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004166616,0.00002695126,0.00004901366,0.00003826325,0.00001219172,0.000005667049,0.9986829,0.0004288245,0.0007144895],"genre_scores_gemma":[0.0001637974,0.00003195487,0.0002177364,0.00004790969,0.000003539115,0.00004384457,0.9988229,0.0001654883,0.000502801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439777,"threshold_uncertainty_score":0.5219464,"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."}}