{"id":"W6905959956","doi":"10.15468/dl.pdrfz4","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); Set (abstract data type); Field (mathematics)","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":[0.001006387,0.002068392,0.001643573,0.005131564,0.001030663,0.002664752,0.002830416,0.001894987,0.192274],"category_scores_gemma":[0.006182879,0.001056639,0.001190364,0.01038412,0.0004462271,0.002322434,0.002822344,0.001973378,0.2478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598109,"about_ca_system_score_gemma":0.002473867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297227,"about_ca_topic_score_gemma":0.037822,"domain_scores_codex":[0.9988931,0.0001359523,0.0001433037,0.0004001124,0.0002431766,0.0001844318],"domain_scores_gemma":[0.9974828,0.0006830593,0.0002455899,0.0006435409,0.0006543726,0.0002906664],"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":[0.00003043351,0.000009877554,0.0003587703,0.0005404747,0.00001443752,0.00001376641,0.00002391067,0.0001034673,0.0001248924,0.0003864295,0.9970252,0.001368385],"study_design_scores_gemma":[0.00006529644,0.000007484386,0.001720911,0.000173063,0.00001444625,0.0000336575,0.00006182998,0.0001082613,0.0001880461,0.0007313451,0.9968777,0.00001813983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003212063,0.00001989883,0.00004094695,0.00002705053,0.00001035975,0.000004274199,0.9988822,0.0003530732,0.0006301138],"genre_scores_gemma":[0.0001340132,0.00002977098,0.0001954427,0.00004276575,0.000003071852,0.00003855386,0.9988579,0.0001938099,0.0005047339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.807726,"threshold_uncertainty_score":0.6432207,"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."}}