{"id":"W6943583764","doi":"10.15468/dl.ynvkg9","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); Alien; Range (aeronautics); The Internet","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":[0.0009738545,0.001904043,0.001519533,0.004627798,0.001023051,0.002605213,0.002742874,0.002109394,0.1723373],"category_scores_gemma":[0.006633046,0.0008911064,0.001236501,0.008662544,0.0004328666,0.002568282,0.002543805,0.001999984,0.2359384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558237,"about_ca_system_score_gemma":0.00229116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02113185,"about_ca_topic_score_gemma":0.03493651,"domain_scores_codex":[0.9989555,0.0001515967,0.0001240028,0.0003793059,0.0002240963,0.0001655092],"domain_scores_gemma":[0.9972875,0.0008097255,0.0002185083,0.0007174815,0.0006836013,0.0002831691],"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":[0.00002635144,0.00001120989,0.0003556119,0.0004572126,0.0000119384,0.00001365843,0.0000206438,0.0001118463,0.0000922742,0.0003256609,0.9972362,0.00133745],"study_design_scores_gemma":[0.00007130876,0.000009158475,0.001811748,0.0002027362,0.00001339497,0.0000356126,0.00007948637,0.0001856789,0.0001804634,0.0008870217,0.9965054,0.0000180579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004465668,0.00002724877,0.00004923665,0.00004577349,0.00001393784,0.000006583526,0.9986379,0.000462643,0.0007119661],"genre_scores_gemma":[0.0001776386,0.0000336032,0.0002200187,0.00005471734,0.000004191678,0.0000496154,0.9987522,0.0001736754,0.0005342843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8276627,"threshold_uncertainty_score":0.5765257,"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."}}