{"id":"W6962374710","doi":"10.15468/dl.k32g7d","title":"Occurrence Download","year":2022,"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); Alien; Range (aeronautics); 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":[0.00104643,0.002087333,0.001663261,0.005260341,0.001068733,0.002768171,0.002871986,0.002227905,0.1682215],"category_scores_gemma":[0.006749438,0.0009317873,0.001325787,0.009714599,0.0004574838,0.002489656,0.002650935,0.002080306,0.2449712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599633,"about_ca_system_score_gemma":0.002436807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133601,"about_ca_topic_score_gemma":0.0326974,"domain_scores_codex":[0.9988877,0.00015529,0.0001386405,0.000397102,0.0002380318,0.0001832575],"domain_scores_gemma":[0.9972309,0.0008367288,0.0002371905,0.0007156585,0.0006808008,0.0002987195],"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":[0.00002898514,0.00001145268,0.0003665116,0.0005358162,0.00001410067,0.00001501215,0.00002175915,0.0001169844,0.0001056453,0.0003384188,0.9970637,0.001381612],"study_design_scores_gemma":[0.00007369669,0.000009476646,0.001803362,0.000220688,0.00001528731,0.00003721072,0.00007731291,0.000176593,0.0001917395,0.0008036975,0.9965726,0.00001829962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004061211,0.00002869095,0.00004454375,0.00004043346,0.00001306427,0.000005794032,0.9987682,0.000447415,0.0006112386],"genre_scores_gemma":[0.0001548219,0.00003559742,0.0001927096,0.00005250587,0.000003979582,0.00004489271,0.9988726,0.0001680231,0.0004749628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8317785,"threshold_uncertainty_score":0.5627569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}