{"id":"W6962190553","doi":"10.15468/dl.px4q7y","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; Set (abstract data type)","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":[0.0009238357,0.001880854,0.001553154,0.005065602,0.0009427053,0.002538416,0.002684844,0.001912882,0.1620878],"category_scores_gemma":[0.005378613,0.0008978265,0.001082108,0.01010733,0.0004274633,0.002299389,0.002488056,0.00192115,0.2213251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145099,"about_ca_system_score_gemma":0.002144174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018326,"about_ca_topic_score_gemma":0.03135561,"domain_scores_codex":[0.9990563,0.000126621,0.000116952,0.0003343696,0.0002083102,0.0001574205],"domain_scores_gemma":[0.9977778,0.0006222684,0.0002186963,0.0005895279,0.0005241944,0.0002674613],"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":[0.00002891813,0.00001096216,0.0003825685,0.0005476577,0.00001567081,0.00001519677,0.00002431872,0.0001250567,0.0001259225,0.0004088681,0.9968402,0.001474567],"study_design_scores_gemma":[0.00006380271,0.0000068308,0.001707011,0.0001715741,0.00001310788,0.00003345263,0.00006728379,0.000121108,0.0001746754,0.0007363776,0.9968892,0.00001565918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004238545,0.00002673587,0.00004281826,0.00003209552,0.00001109956,0.000004553177,0.9988604,0.0003238014,0.0006560782],"genre_scores_gemma":[0.0001615553,0.00003427628,0.0001900262,0.00004147999,0.000003343219,0.00003862892,0.99889,0.0001463194,0.0004944507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8379122,"threshold_uncertainty_score":0.5422378,"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."}}