{"id":"W6887200154","doi":"10.15468/dl.sbcvy8","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":[0.0009733662,0.002042762,0.001485301,0.004590882,0.000987132,0.002385887,0.002713788,0.001976841,0.1501968],"category_scores_gemma":[0.006008692,0.0008886272,0.001235266,0.008963558,0.0004477514,0.002155308,0.002521315,0.001848058,0.2091185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442676,"about_ca_system_score_gemma":0.002317202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011171,"about_ca_topic_score_gemma":0.0336307,"domain_scores_codex":[0.9989293,0.0001477705,0.0001333916,0.0003848441,0.0002271867,0.000177421],"domain_scores_gemma":[0.9975749,0.0006777662,0.0002238918,0.0006526718,0.0005950905,0.0002757546],"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":[0.00003290509,0.00001235198,0.0004096274,0.0004987659,0.0000143624,0.0000139642,0.00002012466,0.0001341985,0.0001222254,0.0003412278,0.9969633,0.00143696],"study_design_scores_gemma":[0.00008442593,0.0000116477,0.001983647,0.0001836778,0.0000153346,0.00003870746,0.00006930788,0.0001729196,0.0002153241,0.0008273124,0.9963779,0.00001965426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000531614,0.00002821997,0.00004288607,0.00003700523,0.00001425051,0.000005679728,0.9987975,0.0003987128,0.0006225347],"genre_scores_gemma":[0.00016995,0.00003216263,0.0001953297,0.0000476279,0.000003789939,0.00004323315,0.9988825,0.0001434322,0.0004820217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8498032,"threshold_uncertainty_score":0.5024583,"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."}}