{"id":"W6962276428","doi":"10.15468/dl.mg6rc5","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009027223,0.001913048,0.001537347,0.004487366,0.001014857,0.002952843,0.00280245,0.001928682,0.188431],"category_scores_gemma":[0.006331039,0.0009272467,0.001350819,0.00862567,0.0003990527,0.0026235,0.002707498,0.001962136,0.2742526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537211,"about_ca_system_score_gemma":0.002355792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124998,"about_ca_topic_score_gemma":0.03364569,"domain_scores_codex":[0.998961,0.0001322752,0.0001326091,0.0003729158,0.000223559,0.0001776023],"domain_scores_gemma":[0.9976302,0.0006357863,0.0001918622,0.0006376474,0.0006515963,0.0002528395],"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":[0.00002648368,0.000009244696,0.0003704481,0.0004506374,0.00001328573,0.00001437319,0.00002170616,0.0001185343,0.00009658022,0.0003495725,0.9967806,0.00174847],"study_design_scores_gemma":[0.00005650667,0.000006670051,0.001483801,0.0001515523,0.00001169528,0.00003085895,0.00006769931,0.0001872866,0.0001688513,0.0008076002,0.9970118,0.0000156665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000420159,0.00002707909,0.00006421089,0.00004486723,0.00001539133,0.000006383986,0.9982885,0.0006740194,0.000837503],"genre_scores_gemma":[0.0001776804,0.00003783142,0.0002635196,0.00005579403,0.000004673083,0.00004755738,0.9985303,0.0002394908,0.000643133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.811569,"threshold_uncertainty_score":0.6303644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499960891586909,"score_gpt":0.223605847112773,"score_spread":0.2086062381969039,"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."}}