{"id":"W6943589397","doi":"10.15468/dl.zs53yu","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.000864038,0.002042894,0.001569028,0.005210483,0.0008644863,0.002564651,0.002796941,0.001785587,0.1407927],"category_scores_gemma":[0.005643557,0.0008833635,0.00114795,0.01091932,0.0004008701,0.0022778,0.002551964,0.001822095,0.2051674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591646,"about_ca_system_score_gemma":0.002501924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02417899,"about_ca_topic_score_gemma":0.04201574,"domain_scores_codex":[0.9989599,0.0001331148,0.0001399741,0.0003592796,0.0002347783,0.0001729087],"domain_scores_gemma":[0.9977009,0.0005770106,0.0002523714,0.0005991773,0.0005945122,0.0002759599],"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":[0.00003030796,0.000009782833,0.0004137165,0.0004902155,0.00001520065,0.00001404993,0.00002180167,0.0001210538,0.0001051654,0.0004326383,0.9969075,0.001438638],"study_design_scores_gemma":[0.00006068873,0.000007052531,0.001772935,0.0001727229,0.00001358896,0.00003369587,0.00005436581,0.0001279719,0.0001757625,0.0007784339,0.9967861,0.00001667211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004199258,0.00002829338,0.00004054861,0.00003017216,0.00001063068,0.00000415251,0.9988387,0.0003417176,0.0006636984],"genre_scores_gemma":[0.0001441642,0.00003589068,0.0001647887,0.00003781784,0.000003061509,0.00003152771,0.9989374,0.0001288736,0.0005163839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8592073,"threshold_uncertainty_score":0.4709986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}