{"id":"W6887199393","doi":"10.15468/dl.vsskw4","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":"Matching (statistics); Download; Range (aeronautics); Column (typography); 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":[0.0009985804,0.002035122,0.001663875,0.004947355,0.001019744,0.002739092,0.002908957,0.002021751,0.1748585],"category_scores_gemma":[0.006492944,0.001001592,0.001185557,0.009902382,0.0004517647,0.002384054,0.002683062,0.001942834,0.2288535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612096,"about_ca_system_score_gemma":0.002463276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02240024,"about_ca_topic_score_gemma":0.03804998,"domain_scores_codex":[0.9988846,0.0001527463,0.0001543833,0.0003941089,0.0002350458,0.000179081],"domain_scores_gemma":[0.9974371,0.0007347649,0.0002486809,0.0006339948,0.0006667388,0.0002787913],"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":[0.00003176861,0.000009805455,0.0003524726,0.0006031753,0.00001512781,0.00001429604,0.00002290356,0.000112209,0.0001109613,0.0003924152,0.996994,0.001340752],"study_design_scores_gemma":[0.00007180603,0.000008168617,0.001621895,0.0002046896,0.00001538706,0.00003585044,0.00006160985,0.0001276827,0.000180826,0.0007951949,0.9968579,0.00001917132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003303898,0.00002500732,0.00003986718,0.00003017889,0.00001031162,0.000004551462,0.9989403,0.0003285162,0.0005882662],"genre_scores_gemma":[0.0001477774,0.00003519584,0.000193053,0.00004747781,0.000003289468,0.00004234475,0.9988828,0.0001604485,0.0004876876],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8251415,"threshold_uncertainty_score":0.58496,"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."}}