{"id":"W6906032463","doi":"10.15468/dl.u3g23c","title":"Occurrence Download","year":2023,"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 collection; Vertebrate","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":[0.001021762,0.002004312,0.001606386,0.005543954,0.00094962,0.002605366,0.002687414,0.001948705,0.2234385],"category_scores_gemma":[0.00634513,0.0009806574,0.00118409,0.01038942,0.0004285027,0.002481268,0.002899202,0.001931343,0.2761891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684692,"about_ca_system_score_gemma":0.00249338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0228697,"about_ca_topic_score_gemma":0.0377079,"domain_scores_codex":[0.9989485,0.000135651,0.0001369226,0.0003603758,0.0002383898,0.0001801334],"domain_scores_gemma":[0.9973004,0.0007322985,0.0002535093,0.0006869654,0.0006856341,0.0003412045],"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":[0.00002658828,0.00000789615,0.0002676334,0.0004976047,0.00001263435,0.00001082028,0.00001837528,0.00008715001,0.00009724085,0.0003343099,0.997297,0.001342763],"study_design_scores_gemma":[0.0000661349,0.000006620088,0.001478965,0.0001785201,0.00001247385,0.00002740441,0.00005312001,0.00009959595,0.0001657496,0.0006995978,0.9971962,0.00001558698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002728635,0.00002182036,0.00003688647,0.00002940299,0.000009678452,0.000004741123,0.9989104,0.0003399525,0.0006197535],"genre_scores_gemma":[0.0001395462,0.00003503955,0.0001830157,0.00004722053,0.000003569126,0.00004090484,0.9988602,0.0001790978,0.0005114709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7765615,"threshold_uncertainty_score":0.7474762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}