{"id":"W6962234621","doi":"10.15468/dl.txgt4p","title":"Occurrence Download","year":2023,"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; 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":[0.001017534,0.002000891,0.001597785,0.004778088,0.0009535967,0.002480265,0.002829169,0.002015286,0.1492779],"category_scores_gemma":[0.00597232,0.0009548431,0.001184649,0.009666997,0.0004436807,0.002263917,0.002532477,0.002026637,0.2058834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636146,"about_ca_system_score_gemma":0.002325306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02301306,"about_ca_topic_score_gemma":0.03519142,"domain_scores_codex":[0.9990043,0.0001314113,0.0001328004,0.0003415706,0.0002225877,0.0001673743],"domain_scores_gemma":[0.9976661,0.0006777681,0.0002168687,0.0006088187,0.0005651446,0.000265316],"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":[0.00003022579,0.00001107123,0.0003717401,0.0005530852,0.0000157503,0.00001551082,0.00002624084,0.0001364491,0.0001269183,0.0004107625,0.9968374,0.001464858],"study_design_scores_gemma":[0.00007396135,0.000007642126,0.001779451,0.000188891,0.00001454602,0.00003642476,0.00007264849,0.0001649483,0.0002008941,0.0007873547,0.9966552,0.00001802066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000398192,0.00002382323,0.00004894022,0.00003237603,0.00001107898,0.000005123359,0.998832,0.0004266218,0.000580202],"genre_scores_gemma":[0.0001582269,0.00003152772,0.0002108354,0.00004121354,0.00000291876,0.00004168511,0.9989543,0.00017252,0.0003867761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8507221,"threshold_uncertainty_score":0.4993843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}