{"id":"W6886912326","doi":"10.15468/dl.aym4uv","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); Data set; R package","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":[0.0008796385,0.001884862,0.001569098,0.005206858,0.001063404,0.00283363,0.00288178,0.002029926,0.1839585],"category_scores_gemma":[0.00600585,0.0009592637,0.001266445,0.0104864,0.0004465375,0.002502968,0.002701833,0.00207711,0.2586851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596209,"about_ca_system_score_gemma":0.002388917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169881,"about_ca_topic_score_gemma":0.03530957,"domain_scores_codex":[0.9989791,0.0001330145,0.0001354369,0.0003655577,0.000217797,0.0001691045],"domain_scores_gemma":[0.9977189,0.0006446586,0.0001979472,0.0006036342,0.0005801906,0.0002547169],"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":[0.0000262598,0.000009913771,0.0003476841,0.0005417176,0.00001353721,0.00001501518,0.00002503102,0.0001088869,0.000104394,0.0003984246,0.9968138,0.001595261],"study_design_scores_gemma":[0.00005416432,0.000005927977,0.001347045,0.0001712206,0.00001181985,0.00003261451,0.00006853604,0.0001244219,0.0001507762,0.0006799672,0.9973392,0.00001435132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004020375,0.00003034849,0.00005128411,0.00003993904,0.00001296713,0.000005507266,0.9985577,0.0004499605,0.0008120093],"genre_scores_gemma":[0.000159168,0.00004088744,0.0002261149,0.00005026153,0.000003768537,0.00004391161,0.9986783,0.0001866394,0.0006109931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8160415,"threshold_uncertainty_score":0.6154025,"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."}}