{"id":"W6962265816","doi":"10.15468/dl.ksmd3n","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); Confidentiality; 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":[0.0009448824,0.00200416,0.001582753,0.004912482,0.00102063,0.002434308,0.002741539,0.002121368,0.1531534],"category_scores_gemma":[0.005750944,0.0008988698,0.001226959,0.009893741,0.00043795,0.002176552,0.002518614,0.00194958,0.2117792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645994,"about_ca_system_score_gemma":0.0024483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02569583,"about_ca_topic_score_gemma":0.04033655,"domain_scores_codex":[0.9989637,0.0001354881,0.0001316276,0.0003514288,0.0002437434,0.0001739675],"domain_scores_gemma":[0.9976707,0.0006584946,0.0002141768,0.0006008592,0.0005803739,0.0002753987],"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":[0.00002970314,0.00001143171,0.0004004218,0.0005176236,0.00001463449,0.00001600215,0.00002552814,0.0001329415,0.0001263815,0.0003831025,0.9968849,0.001457361],"study_design_scores_gemma":[0.00007288371,0.000007929629,0.001951082,0.000190055,0.00001438966,0.00003940986,0.00007568392,0.0001745707,0.0002012192,0.000749018,0.9965055,0.00001825107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004401044,0.00002649949,0.00004582306,0.00003601233,0.00001148347,0.000005177284,0.9987891,0.0004015276,0.0006403654],"genre_scores_gemma":[0.000166344,0.00003153909,0.0001959333,0.00004390145,0.000003134521,0.0000399304,0.9989207,0.0001485116,0.0004501459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8468466,"threshold_uncertainty_score":0.512349,"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."}}