{"id":"W6905880545","doi":"10.15468/dl.wku83r","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":[0.001000906,0.001954922,0.001553473,0.004602185,0.001049587,0.002639496,0.002818713,0.002169512,0.1779767],"category_scores_gemma":[0.006516143,0.0009207184,0.001291314,0.008473718,0.0004425109,0.002529295,0.002644417,0.002055784,0.2495123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528918,"about_ca_system_score_gemma":0.002329755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071609,"about_ca_topic_score_gemma":0.0339949,"domain_scores_codex":[0.9989663,0.0001474519,0.0001187506,0.0003792863,0.0002219768,0.0001662663],"domain_scores_gemma":[0.9973156,0.0007988234,0.0002099284,0.0007190593,0.0006679036,0.0002886276],"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":[0.0000258843,0.00001110976,0.0003341326,0.0004485278,0.00001193986,0.00001315123,0.00002020271,0.000105391,0.00009927853,0.0003189535,0.9973006,0.001310991],"study_design_scores_gemma":[0.00007234099,0.000009194634,0.001745911,0.0001958814,0.00001360697,0.00003461666,0.0000752866,0.0001742077,0.0001871495,0.0008721754,0.9966012,0.0000182851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004350237,0.00002775626,0.0000499922,0.000046426,0.0000147592,0.000006633392,0.9985943,0.0004847795,0.000731797],"genre_scores_gemma":[0.0001680545,0.00003389507,0.0002254259,0.00005840836,0.000004378639,0.00005069034,0.9987165,0.0001896044,0.0005530892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8220233,"threshold_uncertainty_score":0.5953912,"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."}}