{"id":"W6962251938","doi":"10.15468/dl.tq5sfh","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); UniProt; 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":[0.0009687412,0.002004957,0.001608608,0.005005587,0.001011941,0.002588186,0.002997561,0.002209405,0.1469378],"category_scores_gemma":[0.005867513,0.000905966,0.001216667,0.00948972,0.0004517641,0.002430545,0.002496286,0.002030825,0.2120433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615087,"about_ca_system_score_gemma":0.002340088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174495,"about_ca_topic_score_gemma":0.0369613,"domain_scores_codex":[0.9989391,0.0001422077,0.000135226,0.0003767255,0.0002301861,0.0001764647],"domain_scores_gemma":[0.9976233,0.0006569178,0.0002236381,0.0006324967,0.0005807471,0.0002830012],"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":[0.00002814692,0.0000110681,0.0003587307,0.000483419,0.00001439747,0.00001456813,0.00002151398,0.0001158187,0.0001077203,0.0003589704,0.9971969,0.001288691],"study_design_scores_gemma":[0.00007305644,0.000008354898,0.001857237,0.0001873646,0.00001490689,0.00003997894,0.00007444218,0.0001586648,0.0001930703,0.000775263,0.9965999,0.00001765142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004161402,0.00002835447,0.00004247989,0.0000373771,0.00001188716,0.000005053537,0.9988772,0.0003541526,0.0006018007],"genre_scores_gemma":[0.0001525983,0.00003197897,0.0001741656,0.00004226101,0.000003452279,0.00003658481,0.9990098,0.000121963,0.0004271493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8530622,"threshold_uncertainty_score":0.4915559,"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."}}