{"id":"W6887024574","doi":"10.15468/dl.l9ytsx","title":"Occurrence Download","year":2018,"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); Herbarium; 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":[0.001042111,0.001968322,0.001638085,0.005935704,0.0009643,0.002666044,0.002824823,0.001908683,0.1818732],"category_scores_gemma":[0.006520988,0.0008725504,0.001214599,0.01113447,0.0004211212,0.002544021,0.002885228,0.001969315,0.2591687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520495,"about_ca_system_score_gemma":0.002441654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197426,"about_ca_topic_score_gemma":0.03443085,"domain_scores_codex":[0.9988353,0.0001590765,0.0001474339,0.0004022324,0.0002600685,0.0001959812],"domain_scores_gemma":[0.9972607,0.0007147833,0.0002582553,0.0007160165,0.0007311086,0.000319134],"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":[0.0000268068,0.000008694632,0.0003027133,0.0005029647,0.00001395202,0.0000118493,0.00001943384,0.00009394861,0.00009743922,0.0003334174,0.9971571,0.001431683],"study_design_scores_gemma":[0.00005890673,0.000007223129,0.001581528,0.0001868597,0.00001324933,0.00002985632,0.00005861835,0.0001099563,0.000156128,0.0007036906,0.9970787,0.00001527688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003525609,0.00002925755,0.00004255126,0.00003382432,0.00001184734,0.000005331133,0.998784,0.0003842311,0.0006737182],"genre_scores_gemma":[0.0001417783,0.00003612712,0.0001791769,0.00004476706,0.00000394348,0.00003798223,0.9989117,0.0001492122,0.0004953145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8181269,"threshold_uncertainty_score":0.6084263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}