{"id":"W6962202625","doi":"10.15468/dl.m4hega","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); Range (aeronautics); Data modeling","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":[0.001149631,0.002006391,0.001712715,0.005389959,0.001063448,0.00287172,0.003019755,0.002102734,0.1772738],"category_scores_gemma":[0.006836587,0.00102661,0.00119124,0.01064042,0.0004792154,0.00248681,0.002783507,0.002129284,0.2379409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600473,"about_ca_system_score_gemma":0.002427016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015924,"about_ca_topic_score_gemma":0.03261324,"domain_scores_codex":[0.9988434,0.0001535273,0.000154655,0.0004035978,0.0002587997,0.0001860349],"domain_scores_gemma":[0.997216,0.0008106677,0.0002610194,0.0007359361,0.0006624559,0.0003138787],"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":[0.00002876925,0.00001053924,0.0003358883,0.0005640164,0.00001509236,0.0000148736,0.00002522045,0.0001155059,0.0001132556,0.0004024302,0.9970367,0.001337785],"study_design_scores_gemma":[0.00007229504,0.000007233576,0.001617227,0.0002023771,0.00001470772,0.00003639677,0.00007362011,0.0001339898,0.0001753092,0.0007990904,0.9968501,0.00001773233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003427039,0.0000231605,0.00004542254,0.00003289279,0.00001111568,0.00000491275,0.9988917,0.0003566244,0.0006000018],"genre_scores_gemma":[0.0001438895,0.00003243216,0.0002025876,0.00004299096,0.00000328902,0.00004301233,0.9989086,0.0001737909,0.0004494349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8227262,"threshold_uncertainty_score":0.59304,"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."}}