{"id":"W6924480123","doi":"10.15468/dl.kg8evt","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); Alien; The Internet","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":[0.000966467,0.002006265,0.001552949,0.004728022,0.001030743,0.002563048,0.002740063,0.002197404,0.15534],"category_scores_gemma":[0.00619159,0.0008913229,0.001302293,0.008677802,0.0004446153,0.002503409,0.002652638,0.002012544,0.2244676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552328,"about_ca_system_score_gemma":0.00228157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02098781,"about_ca_topic_score_gemma":0.03318941,"domain_scores_codex":[0.9989522,0.0001464893,0.0001313403,0.0003726433,0.000226208,0.0001710872],"domain_scores_gemma":[0.9974359,0.0007286724,0.0002181011,0.0006985365,0.0006311856,0.0002877886],"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":[0.00002954602,0.00001234464,0.0003788882,0.0005159096,0.00001357428,0.00001531648,0.00002225148,0.0001249249,0.000113483,0.0003346026,0.997015,0.001424119],"study_design_scores_gemma":[0.00007702642,0.00001033449,0.001956426,0.0002069773,0.00001458019,0.00004136455,0.00008269201,0.0001864995,0.0002025009,0.0007905628,0.9964122,0.00001882946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004902469,0.00003029069,0.00004785935,0.00004612278,0.00001561169,0.000006360801,0.9986874,0.0004662556,0.0006510104],"genre_scores_gemma":[0.0001660382,0.0000348922,0.0002057083,0.00005275831,0.000004093331,0.00004284662,0.9988709,0.0001478152,0.0004749305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.84466,"threshold_uncertainty_score":0.5196642,"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."}}