{"id":"W6962195807","doi":"10.15468/dl.k3p95y","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); Range (aeronautics); Download; Identification (biology); Set (abstract data type)","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":[0.0008882327,0.002035494,0.001569828,0.005335411,0.000961922,0.002561574,0.002737707,0.001790123,0.1736797],"category_scores_gemma":[0.005424082,0.0009633565,0.001154584,0.01076792,0.0004265025,0.002345623,0.00258934,0.001882099,0.2420478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424348,"about_ca_system_score_gemma":0.002292401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01896816,"about_ca_topic_score_gemma":0.03370507,"domain_scores_codex":[0.9989544,0.0001344342,0.0001379395,0.0003765795,0.0002231475,0.0001734564],"domain_scores_gemma":[0.9975776,0.000623011,0.0002374776,0.0006583603,0.0006188983,0.0002847229],"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":[0.00003314692,0.00001135048,0.0003673145,0.0005383431,0.00001481139,0.00001425659,0.00002178228,0.0001113519,0.0001290804,0.0003934611,0.9968343,0.001530747],"study_design_scores_gemma":[0.00006577666,0.00000798956,0.0016642,0.0001551018,0.0000132813,0.00003306834,0.00005696655,0.0001128037,0.0001754503,0.0007451464,0.9969532,0.00001710779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003899665,0.00002367954,0.00003966307,0.00002708927,0.00001086536,0.000004661889,0.998843,0.0003358613,0.0006762035],"genre_scores_gemma":[0.000138615,0.00003246103,0.0001877826,0.00004272957,0.000003560578,0.00003700857,0.9988964,0.000145779,0.0005157118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8263203,"threshold_uncertainty_score":0.5810165,"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."}}