{"id":"W7104252313","doi":"10.15468/dl.v4qxj9","title":"Occurrence Download","year":2025,"lang":"","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); Data set; Set (abstract data type)","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":[0.001012275,0.001891346,0.001595807,0.005825149,0.0009884943,0.002639184,0.002598764,0.001903714,0.1708223],"category_scores_gemma":[0.005996324,0.0008752767,0.001104288,0.01082066,0.0004669004,0.002155676,0.002705247,0.001912423,0.2279849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625401,"about_ca_system_score_gemma":0.002575197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395949,"about_ca_topic_score_gemma":0.04002104,"domain_scores_codex":[0.9989236,0.0001368359,0.0001387671,0.0003568679,0.0002518426,0.0001920881],"domain_scores_gemma":[0.9973437,0.000687332,0.0002778106,0.0006646934,0.0006856266,0.0003407621],"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":[0.00003000555,0.00001023955,0.0003826664,0.0005356427,0.00001469704,0.00001304537,0.00002223267,0.0001023619,0.0001154412,0.0003544718,0.9970055,0.001413737],"study_design_scores_gemma":[0.00006869164,0.000007871154,0.002051446,0.0001993222,0.00001456962,0.00003320371,0.00006820304,0.0001112438,0.0001793504,0.0006730253,0.9965766,0.00001642164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003613606,0.00002311636,0.00003090407,0.00002803251,0.000009849454,0.000004409088,0.9990037,0.0002811853,0.0005826289],"genre_scores_gemma":[0.0001486174,0.00003014149,0.0001559847,0.00004086689,0.000003458477,0.00003445695,0.9990116,0.0001248986,0.0004499313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8291777,"threshold_uncertainty_score":0.5714576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}