{"id":"W6962221591","doi":"10.15468/dl.pzu25y","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); Set (abstract data type); Data set","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":[0.0009361932,0.001975423,0.001606769,0.004768922,0.0009056929,0.00249626,0.002714396,0.002008705,0.158244],"category_scores_gemma":[0.005565136,0.0009124254,0.001223761,0.009490184,0.0004210767,0.002364707,0.002621342,0.001975785,0.2249789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485463,"about_ca_system_score_gemma":0.002205515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955303,"about_ca_topic_score_gemma":0.03307103,"domain_scores_codex":[0.9990247,0.0001288774,0.0001205842,0.0003411907,0.0002248093,0.0001597382],"domain_scores_gemma":[0.9977236,0.0006185403,0.0002145193,0.0006227351,0.0005512483,0.0002692572],"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":[0.00002883815,0.0000103578,0.0003817123,0.000519799,0.00001625105,0.00001410384,0.00002176573,0.0001340674,0.0001237646,0.0003818856,0.9969398,0.001427635],"study_design_scores_gemma":[0.00007080612,0.000008094262,0.001930449,0.000179749,0.00001522396,0.00003533996,0.000066389,0.0001632687,0.0002042092,0.0008874743,0.9964213,0.00001767022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003931397,0.0000256125,0.00004711956,0.00003298544,0.00001081832,0.000004789421,0.9988008,0.00041721,0.0006214574],"genre_scores_gemma":[0.0001584343,0.00003199568,0.0001976662,0.00004276035,0.000003262485,0.00003759952,0.9989279,0.0001590925,0.0004412089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.841756,"threshold_uncertainty_score":0.529379,"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."}}