{"id":"W6924431223","doi":"10.15468/dl.nbmjeu","title":"Occurrence Download","year":2024,"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); 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":[0.0009157219,0.0020197,0.001570195,0.005001487,0.001144082,0.002889753,0.002967667,0.002405201,0.1648273],"category_scores_gemma":[0.006307917,0.000949308,0.001298469,0.01003339,0.0004574971,0.002740659,0.002778961,0.002180227,0.2279127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825843,"about_ca_system_score_gemma":0.002479842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02370998,"about_ca_topic_score_gemma":0.03989584,"domain_scores_codex":[0.9988348,0.0001567878,0.0001533008,0.0003947714,0.0002647217,0.0001957019],"domain_scores_gemma":[0.9974639,0.0007103411,0.000212914,0.0006508997,0.0006910976,0.0002707209],"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":[0.00002931782,0.00001233708,0.0003803249,0.0005624294,0.00001322208,0.00001693397,0.00002519487,0.0001293834,0.000106999,0.0004147276,0.9966097,0.001699487],"study_design_scores_gemma":[0.00006187967,0.000007885725,0.001489109,0.0001929922,0.0000116773,0.00004201648,0.00008174779,0.0001723431,0.0001695117,0.0007766651,0.996977,0.00001722098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004847778,0.00003460116,0.00005789202,0.00004837936,0.00001461531,0.000006196652,0.9984738,0.0004906403,0.0008254524],"genre_scores_gemma":[0.0001810927,0.00004120644,0.0002579921,0.00005496873,0.00000390004,0.00004247824,0.9986842,0.0001605954,0.0005734982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351727,"threshold_uncertainty_score":0.5514022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}