{"id":"W6905895907","doi":"10.15468/dl.wjfarz","title":"Occurrence Download","year":2025,"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":[0.0009147012,0.001842992,0.001524696,0.004884629,0.001026223,0.00291007,0.002718892,0.001839058,0.1887183],"category_scores_gemma":[0.006111104,0.0008981888,0.001343059,0.009342072,0.0004082641,0.002547555,0.002713665,0.001860203,0.271347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465472,"about_ca_system_score_gemma":0.00230569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205993,"about_ca_topic_score_gemma":0.03255414,"domain_scores_codex":[0.9989449,0.0001295652,0.0001333408,0.0003799722,0.0002276409,0.0001844836],"domain_scores_gemma":[0.9976237,0.0006267523,0.0001969172,0.0006650548,0.0006392001,0.0002483197],"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":[0.00002932478,0.000009561553,0.0004399137,0.0005392552,0.00001526726,0.00001658461,0.0000265585,0.0001277896,0.0001265477,0.0004032127,0.9962847,0.001981209],"study_design_scores_gemma":[0.00004869641,0.000006744582,0.00163262,0.0001619904,0.00001256217,0.00003368167,0.00007464665,0.0001632695,0.0001757261,0.0007538695,0.9969203,0.00001582329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000487508,0.00003287765,0.0000688033,0.00004379456,0.00001736479,0.000006193999,0.9981681,0.0006972613,0.0009169099],"genre_scores_gemma":[0.0001989107,0.00004168044,0.0002689387,0.00005299673,0.000004759885,0.00004279091,0.9985117,0.0002407748,0.0006373943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8112817,"threshold_uncertainty_score":0.6313256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}