{"id":"W6961778722","doi":"10.15468/dl.q52esz","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":[0.0009202522,0.001840708,0.001573086,0.005183046,0.001086589,0.002982616,0.002784414,0.001850597,0.2012264],"category_scores_gemma":[0.006255219,0.0009368874,0.001349473,0.00999494,0.0004230433,0.002639312,0.00284754,0.001941449,0.2841903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459286,"about_ca_system_score_gemma":0.002379308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007475,"about_ca_topic_score_gemma":0.03266223,"domain_scores_codex":[0.9989206,0.0001337677,0.0001367171,0.0003826482,0.0002364116,0.0001899525],"domain_scores_gemma":[0.9974965,0.0006586729,0.0002074881,0.0006909429,0.0006852339,0.0002610809],"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":[0.00002798124,0.000009530603,0.0004361352,0.0005174381,0.00001483357,0.00001653784,0.00002670218,0.0001253255,0.0001219103,0.000394813,0.9963069,0.002001849],"study_design_scores_gemma":[0.00004743903,0.000006347629,0.001554722,0.0001538987,0.00001206339,0.00003278286,0.00007605269,0.0001483098,0.0001632842,0.0007518321,0.9970375,0.00001573833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000484315,0.00003134894,0.00006879121,0.00004438335,0.00001785165,0.000006114085,0.9981934,0.0006669142,0.0009227378],"genre_scores_gemma":[0.0001919671,0.00004225069,0.0002800533,0.00005349388,0.000004998059,0.00004558818,0.9984201,0.0002605763,0.0007009029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7987736,"threshold_uncertainty_score":0.6731693,"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."}}