{"id":"W6962624673","doi":"10.15468/dl.wyjqfe","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 file","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":[0.0009745187,0.001999471,0.001620108,0.005010479,0.0009734872,0.002577449,0.002866287,0.002019297,0.1554893],"category_scores_gemma":[0.005730005,0.0009483434,0.001210341,0.009935606,0.0004520574,0.002252846,0.002602347,0.002020801,0.2141034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602743,"about_ca_system_score_gemma":0.002321701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329302,"about_ca_topic_score_gemma":0.03647785,"domain_scores_codex":[0.999008,0.0001287961,0.0001227147,0.0003417564,0.0002320774,0.0001667521],"domain_scores_gemma":[0.9977105,0.0006344158,0.0002187013,0.000613008,0.0005588938,0.0002644432],"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":[0.00002893931,0.00001068127,0.0003774429,0.0005281766,0.00001589765,0.00001484652,0.00002552697,0.0001355137,0.0001317954,0.0004025775,0.9968534,0.001475304],"study_design_scores_gemma":[0.00006993929,0.000007542567,0.001854347,0.0001809248,0.0000147413,0.00003761729,0.00007117244,0.0001545155,0.000202561,0.0007415321,0.9966475,0.00001750849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004172201,0.00002622663,0.00004910099,0.00003340955,0.00001119639,0.000004893441,0.9987615,0.0004442395,0.00062776],"genre_scores_gemma":[0.0001600061,0.00003136499,0.0001994724,0.00004188364,0.00000298792,0.00003748968,0.9989189,0.0001785436,0.0004293832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445107,"threshold_uncertainty_score":0.5201635,"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."}}