{"id":"W6962196432","doi":"10.15468/dl.u9masw","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":[0.0009932205,0.001944598,0.001554431,0.0047946,0.00102668,0.002567722,0.002739382,0.002132514,0.1638885],"category_scores_gemma":[0.006243691,0.0009088187,0.001259105,0.009120426,0.0004527218,0.002486997,0.002657576,0.002007427,0.2291292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552418,"about_ca_system_score_gemma":0.002285039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030604,"about_ca_topic_score_gemma":0.03294403,"domain_scores_codex":[0.9989454,0.0001481386,0.0001367458,0.0003753331,0.0002211909,0.00017325],"domain_scores_gemma":[0.9973283,0.0007751419,0.0002348517,0.0007105041,0.0006570217,0.0002943204],"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":[0.00002853783,0.00001196617,0.0003766185,0.0005404562,0.00001367703,0.00001473001,0.00002343194,0.0001240914,0.0001124558,0.0003507479,0.9969663,0.001437082],"study_design_scores_gemma":[0.00007268542,0.000009553182,0.001901984,0.00020616,0.00001407931,0.0000372959,0.00008281838,0.0001661675,0.0001866671,0.0007645605,0.99654,0.00001816358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004473233,0.00002718499,0.00004622188,0.00004211867,0.00001482051,0.000006068325,0.9987729,0.0004071061,0.0006388669],"genre_scores_gemma":[0.0001634518,0.00003414471,0.0002097668,0.00005107357,0.000004108178,0.00004509832,0.9988637,0.0001469852,0.000481596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361115,"threshold_uncertainty_score":0.5482615,"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."}}