{"id":"W6924575205","doi":"10.15468/dl.k3p9cy","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; Order (exchange)","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":[0.001043227,0.002056463,0.001775296,0.005802347,0.001066563,0.002936451,0.003100824,0.002120901,0.1706552],"category_scores_gemma":[0.006182509,0.000991573,0.001249541,0.01181977,0.0004758019,0.002491237,0.002790432,0.00208956,0.2340499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739905,"about_ca_system_score_gemma":0.002641449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02542298,"about_ca_topic_score_gemma":0.03932248,"domain_scores_codex":[0.9988629,0.0001473697,0.000143931,0.0003937254,0.0002607371,0.0001913104],"domain_scores_gemma":[0.9975425,0.0006870152,0.0002290774,0.0006473201,0.0006117325,0.0002824428],"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":[0.00002847915,0.000009600771,0.0003294363,0.0005979438,0.00001640649,0.00001440724,0.00002547643,0.0001203381,0.0001184393,0.0004406042,0.9968293,0.001469651],"study_design_scores_gemma":[0.00005838377,0.000005878797,0.001443458,0.0001868573,0.00001398288,0.00003173223,0.00006428605,0.0001116007,0.0001628431,0.0007061365,0.9971988,0.00001589037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003326343,0.0000305722,0.00004583193,0.00003214675,0.00001081641,0.000004600997,0.9987883,0.0003835952,0.0006708901],"genre_scores_gemma":[0.0001405981,0.00003869498,0.0001844378,0.00004158192,0.000002905186,0.00003571217,0.9989161,0.0001698824,0.0004700174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8293448,"threshold_uncertainty_score":0.5708984,"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."}}