{"id":"W6924375577","doi":"10.15468/dl.k2ejsv","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); Software; Species name","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":[0.001133216,0.001990587,0.001662428,0.005380884,0.001056881,0.002786173,0.002968305,0.002071159,0.1680394],"category_scores_gemma":[0.006749655,0.0009691862,0.001178321,0.01046495,0.0004697557,0.002479255,0.002657654,0.002072805,0.2346598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666328,"about_ca_system_score_gemma":0.002489626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022347,"about_ca_topic_score_gemma":0.03638862,"domain_scores_codex":[0.9988122,0.0001616206,0.0001574057,0.0004138997,0.0002681986,0.0001867246],"domain_scores_gemma":[0.9972137,0.0008102342,0.0002568292,0.0007305158,0.0006746586,0.0003141987],"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":[0.00002673195,0.00001011802,0.000337992,0.0004991479,0.00001396492,0.00001413359,0.00002300264,0.0001093924,0.0001074387,0.0003857258,0.9971866,0.001285736],"study_design_scores_gemma":[0.00006444231,0.000006879577,0.001635208,0.0001854833,0.00001353386,0.00003528292,0.00006914863,0.0001355804,0.0001753445,0.0007641959,0.9968978,0.00001703101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000350875,0.00002418431,0.00004551576,0.00003353009,0.00001121584,0.000004753651,0.998862,0.0003593086,0.0006244828],"genre_scores_gemma":[0.0001400691,0.00003154171,0.0001881299,0.00004091642,0.000003184731,0.00003839162,0.9989544,0.0001581076,0.0004451449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8319606,"threshold_uncertainty_score":0.5621478,"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."}}