{"id":"W6943594089","doi":"10.15468/dl.rbewgf","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; Chin","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":[0.0009841007,0.001987779,0.001545282,0.004768211,0.001054518,0.002609369,0.002760349,0.002124418,0.1646411],"category_scores_gemma":[0.006041214,0.0008862004,0.001270237,0.008968227,0.00044605,0.002440731,0.002586992,0.002006375,0.2391067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497407,"about_ca_system_score_gemma":0.002279941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100228,"about_ca_topic_score_gemma":0.03437482,"domain_scores_codex":[0.9989731,0.0001472601,0.0001247485,0.0003662524,0.0002202017,0.0001684116],"domain_scores_gemma":[0.9974042,0.0007532309,0.000214559,0.0007003971,0.0006429666,0.0002845353],"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":[0.00002660226,0.00001182196,0.0003710539,0.0004640258,0.00001248521,0.00001438723,0.0000213902,0.0001127132,0.0001000408,0.0003122791,0.997189,0.001364277],"study_design_scores_gemma":[0.00007400996,0.000009767941,0.001968531,0.0001979121,0.00001390375,0.00003836599,0.0000830747,0.0001772996,0.0001912599,0.0007877861,0.9964394,0.00001875648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000477426,0.00002817133,0.00004713219,0.00004304625,0.0000146629,0.000006412462,0.9987025,0.0004397137,0.0006706051],"genre_scores_gemma":[0.0001657768,0.00003300519,0.0002053026,0.00004973745,0.000004201041,0.00004732909,0.9988412,0.0001519686,0.0005014948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835359,"threshold_uncertainty_score":0.5507792,"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."}}