{"id":"W6906050241","doi":"10.15468/dl.yxxzjj","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":[0.001034217,0.002008948,0.001677965,0.00504749,0.001041053,0.002691872,0.002914982,0.002143995,0.1505759],"category_scores_gemma":[0.005861244,0.0009540329,0.001201696,0.01005974,0.000451859,0.002531196,0.002622077,0.002094456,0.2199706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572023,"about_ca_system_score_gemma":0.002348528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980264,"about_ca_topic_score_gemma":0.03515962,"domain_scores_codex":[0.9988579,0.0001588333,0.0001445231,0.000405644,0.0002501739,0.0001829154],"domain_scores_gemma":[0.9974265,0.0007130647,0.0002350427,0.0007012053,0.0006225882,0.0003016376],"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":[0.00002985378,0.00001213817,0.000365309,0.0005312712,0.00001514141,0.00001514159,0.00002301619,0.0001222514,0.0001203033,0.0004087022,0.9970565,0.001300346],"study_design_scores_gemma":[0.0000686189,0.000007950187,0.001761852,0.0001752405,0.00001338262,0.00003568263,0.00006907298,0.000135437,0.0001765717,0.0007643914,0.9967744,0.0000174521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004222133,0.0000270416,0.00004510659,0.0000350338,0.00001194952,0.000005038075,0.9988506,0.0003412826,0.0006416928],"genre_scores_gemma":[0.0001425699,0.00003135077,0.000180172,0.00004129856,0.000003161424,0.00003723813,0.99898,0.0001304258,0.0004538079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494241,"threshold_uncertainty_score":0.5037265,"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."}}