{"id":"W6943509241","doi":"10.15468/dl.qpu7jb","title":"Occurrence Download","year":2021,"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); Information system","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":[0.000973984,0.001901396,0.001674714,0.005181342,0.0009097995,0.002459725,0.002761751,0.001903911,0.1622348],"category_scores_gemma":[0.005623054,0.0009130582,0.001071288,0.01082004,0.0004390072,0.002259268,0.002439676,0.001980028,0.2171008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575007,"about_ca_system_score_gemma":0.002305515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121311,"about_ca_topic_score_gemma":0.03369232,"domain_scores_codex":[0.9990212,0.000129936,0.0001283123,0.0003274639,0.0002268348,0.0001662519],"domain_scores_gemma":[0.9976052,0.0006470559,0.0002420564,0.0006284401,0.0005946763,0.0002826328],"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":[0.00002885959,0.00001106959,0.0003829183,0.0005470013,0.00001468647,0.00001452508,0.00002381798,0.000138459,0.000114148,0.0004183726,0.9967756,0.001530612],"study_design_scores_gemma":[0.00006608873,0.000006926413,0.0018029,0.0001785996,0.00001276809,0.00003189351,0.00006624074,0.0001287335,0.000183411,0.0007109573,0.9967956,0.00001597364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003582516,0.00002338213,0.00003590739,0.0000284818,0.000009152198,0.000004552483,0.9990252,0.0002813096,0.0005561127],"genre_scores_gemma":[0.0001505686,0.00003148249,0.0001696497,0.0000348031,0.000003019361,0.00003783137,0.9989671,0.0001226885,0.0004827945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8377652,"threshold_uncertainty_score":0.5427295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}