{"id":"W6943414902","doi":"10.15468/dl.v2gdns","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 set; Set (abstract data type)","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":[0.001001701,0.001994957,0.001624728,0.004857118,0.001009724,0.002536614,0.002865245,0.002147958,0.1580976],"category_scores_gemma":[0.006075541,0.0009357704,0.001230516,0.009777563,0.0004513442,0.002209675,0.002603362,0.001977433,0.2151552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653316,"about_ca_system_score_gemma":0.002423414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02446217,"about_ca_topic_score_gemma":0.0382322,"domain_scores_codex":[0.9989688,0.0001372363,0.0001300949,0.0003577478,0.0002324245,0.0001736938],"domain_scores_gemma":[0.9976454,0.0006754317,0.0002180754,0.0006113011,0.0005751705,0.0002745696],"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":[0.0000293988,0.00001106078,0.0003771169,0.0005272973,0.00001544222,0.00001468196,0.00002519046,0.0001264311,0.0001210179,0.0003771896,0.9970027,0.00137243],"study_design_scores_gemma":[0.000078899,0.000008182104,0.001914026,0.0001993353,0.000015567,0.00003740016,0.00007537611,0.0001663477,0.0001986648,0.0007578625,0.9965299,0.00001838405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004136327,0.0000265204,0.00004527357,0.00003482476,0.00001126031,0.00000519677,0.9988177,0.0004165035,0.0006012507],"genre_scores_gemma":[0.0001621739,0.00003129979,0.0001955303,0.00004412471,0.000003073958,0.00004232552,0.9989397,0.0001628328,0.0004189252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8419024,"threshold_uncertainty_score":0.5288893,"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."}}