{"id":"W6905986582","doi":"10.15468/dl.s9myzw","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":[0.0009172418,0.001896536,0.001580154,0.005129481,0.001078457,0.003000866,0.002813308,0.001875764,0.1911378],"category_scores_gemma":[0.00631417,0.0009328462,0.001382728,0.009744517,0.0004161532,0.002642461,0.002846539,0.001927957,0.2792274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456191,"about_ca_system_score_gemma":0.002385478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016131,"about_ca_topic_score_gemma":0.0326148,"domain_scores_codex":[0.9988944,0.0001378501,0.0001396577,0.0003959138,0.0002419733,0.0001902704],"domain_scores_gemma":[0.9974771,0.0006561729,0.0002081094,0.0007108812,0.0006863602,0.0002614014],"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":[0.00002915606,0.000009740385,0.0004501156,0.0005195863,0.00001551188,0.00001670846,0.000025884,0.0001294997,0.0001229406,0.0003928248,0.9962691,0.002018973],"study_design_scores_gemma":[0.00004809814,0.00000669837,0.001565801,0.0001526663,0.00001251587,0.00003404696,0.00007369152,0.0001591134,0.000168671,0.0007524181,0.9970104,0.00001595756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004924066,0.00003246316,0.00006970898,0.00004465397,0.00001805104,0.000006172862,0.9981868,0.0006920514,0.0009008009],"genre_scores_gemma":[0.000189167,0.00004144532,0.0002743888,0.00005191665,0.000004927449,0.00004425434,0.9984835,0.0002461912,0.0006641815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8088622,"threshold_uncertainty_score":0.6394196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}