{"id":"W6905933175","doi":"10.15468/dl.pzd65r","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); Order (exchange); Task (project management)","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":[0.001010814,0.001906397,0.001553959,0.005086329,0.0009700808,0.002548068,0.002782801,0.001958917,0.1503703],"category_scores_gemma":[0.006052342,0.0009033275,0.00115203,0.01019972,0.0004336859,0.002235322,0.002473957,0.001982107,0.2052784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632908,"about_ca_system_score_gemma":0.002292152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239398,"about_ca_topic_score_gemma":0.03849987,"domain_scores_codex":[0.9989684,0.0001393748,0.0001301564,0.0003534913,0.0002378098,0.0001707564],"domain_scores_gemma":[0.9975399,0.0007124395,0.0002407341,0.0006411939,0.0005877724,0.0002780614],"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":[0.0000277952,0.00001023452,0.0003716372,0.0004744651,0.00001443276,0.00001409402,0.00002348288,0.0001258472,0.0001057689,0.000406234,0.9970406,0.001385354],"study_design_scores_gemma":[0.00006795876,0.00000725675,0.001827365,0.0001756725,0.00001355323,0.00003531732,0.00006849595,0.0001565433,0.000177028,0.0007886186,0.9966655,0.00001663005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004025016,0.00002481134,0.0000456801,0.00003438031,0.00001099663,0.000004601201,0.9988373,0.0003835127,0.0006184385],"genre_scores_gemma":[0.0001616485,0.00003057668,0.0001938627,0.00004127952,0.000003259653,0.00003752426,0.9989423,0.0001575219,0.0004320262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8496296,"threshold_uncertainty_score":0.5030389,"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."}}