{"id":"W6887093283","doi":"10.15468/dl.knxd66","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 set","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":[0.00105571,0.001994127,0.001645857,0.005148769,0.001058587,0.002818224,0.00286841,0.002162751,0.1751987],"category_scores_gemma":[0.00664793,0.0009630944,0.001194157,0.009929867,0.0004619258,0.002764874,0.002784768,0.002149082,0.2355701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621776,"about_ca_system_score_gemma":0.002347547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037157,"about_ca_topic_score_gemma":0.03519796,"domain_scores_codex":[0.9988579,0.0001633632,0.0001438981,0.0004098905,0.0002449288,0.0001801282],"domain_scores_gemma":[0.9972179,0.0008228169,0.000248036,0.0007326234,0.0006684531,0.0003101761],"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":[0.00002586912,0.00001040954,0.0003289031,0.0005257587,0.00001303691,0.00001363524,0.00002282285,0.0001114045,0.00009199415,0.0003765025,0.9972254,0.001254218],"study_design_scores_gemma":[0.00006502539,0.000007325445,0.001518987,0.0001915299,0.00001259402,0.00003303514,0.00007192473,0.0001378081,0.0001491904,0.0008432906,0.9969521,0.00001727879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003716748,0.00002692805,0.0000473503,0.00003887244,0.00001272564,0.00000546131,0.998779,0.00037819,0.0006742014],"genre_scores_gemma":[0.0001599174,0.00003567562,0.0002123519,0.00005029457,0.000003827459,0.00004648831,0.9987974,0.0001716328,0.0005224622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8248013,"threshold_uncertainty_score":0.586098,"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."}}