{"id":"W6962225188","doi":"10.15468/dl.ut68dd","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; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0009079748,0.002073324,0.001564647,0.004937168,0.0009971632,0.002375764,0.002809987,0.001942285,0.1537306],"category_scores_gemma":[0.005348241,0.000932688,0.001172929,0.009827568,0.0004537695,0.002250014,0.002532561,0.001950504,0.2139612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512744,"about_ca_system_score_gemma":0.002250051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161048,"about_ca_topic_score_gemma":0.03677814,"domain_scores_codex":[0.9989923,0.0001357339,0.0001255763,0.0003613885,0.0002152727,0.0001697223],"domain_scores_gemma":[0.9977795,0.0005961062,0.0002207704,0.0005774726,0.0005609229,0.0002652232],"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":[0.0000298893,0.00001133627,0.0003580373,0.0005112041,0.00001371357,0.00001391545,0.00002142888,0.0001218909,0.0001168311,0.0003504046,0.9970232,0.00142822],"study_design_scores_gemma":[0.00007137615,0.00000892563,0.001796372,0.0001734997,0.00001370733,0.0000374162,0.00006491345,0.0001365156,0.0001822921,0.0007498761,0.9967471,0.00001810747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004509828,0.00002834959,0.00004185321,0.00003187251,0.00001258975,0.000004872356,0.9988227,0.000353927,0.000658582],"genre_scores_gemma":[0.0001483912,0.00003344001,0.0001919029,0.00004450165,0.000003414496,0.00003979265,0.9989297,0.0001401086,0.0004687164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8462694,"threshold_uncertainty_score":0.51428,"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."}}