{"id":"W6943325682","doi":"10.15468/dl.tawrc7","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); Data set","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":[0.001024359,0.002100188,0.001665627,0.004835336,0.001031042,0.002637552,0.002963888,0.002189396,0.1640741],"category_scores_gemma":[0.005977156,0.0009673706,0.001195211,0.009426026,0.0004721451,0.002487584,0.002664181,0.002121639,0.2330021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553353,"about_ca_system_score_gemma":0.002306152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932303,"about_ca_topic_score_gemma":0.03432334,"domain_scores_codex":[0.9989275,0.0001509793,0.0001292178,0.0003881608,0.0002324175,0.0001716561],"domain_scores_gemma":[0.9974577,0.0007097808,0.0002348945,0.0007006414,0.0006010642,0.0002960565],"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":[0.00002804103,0.0000112954,0.0003256648,0.0004897819,0.00001353474,0.00001365225,0.00002186213,0.000115067,0.000107458,0.0003612106,0.9973069,0.001205508],"study_design_scores_gemma":[0.00007849286,0.000007873415,0.001657242,0.0001664969,0.00001319915,0.00003497025,0.00006721499,0.0001413053,0.0001811179,0.0008430646,0.9967907,0.00001815713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003906778,0.00002414181,0.00004613624,0.00003471177,0.00001154847,0.000005217311,0.9988315,0.0003810752,0.0006266961],"genre_scores_gemma":[0.0001570142,0.00002984405,0.0002071911,0.00004588347,0.000003519318,0.00004381025,0.9988715,0.0001621965,0.0004790176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359259,"threshold_uncertainty_score":0.5488826,"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."}}