{"id":"W7110848912","doi":"10.15468/dl.8rx3zv","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); Set (abstract data type); Data set","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":[0.0010126,0.001821838,0.001515104,0.005103328,0.0009333365,0.002436515,0.002609405,0.001920305,0.1683868],"category_scores_gemma":[0.006251835,0.0008872839,0.001123011,0.009672673,0.0004341674,0.002119984,0.002511546,0.001875745,0.213434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479633,"about_ca_system_score_gemma":0.002243586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935569,"about_ca_topic_score_gemma":0.03042529,"domain_scores_codex":[0.9989554,0.0001336,0.0001365123,0.0003571611,0.0002387634,0.0001786375],"domain_scores_gemma":[0.997528,0.0006839412,0.0002496541,0.0006469725,0.0006008615,0.0002905856],"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":[0.00003211905,0.00001107615,0.0004014081,0.0005686986,0.00001606437,0.00001427679,0.00002115575,0.0001132304,0.0001329322,0.0003595765,0.996864,0.00146558],"study_design_scores_gemma":[0.00007904187,0.000008615355,0.002180953,0.0002007949,0.00001561581,0.00003652474,0.00006786286,0.000132168,0.0002050431,0.0007094751,0.9963475,0.00001656444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003952004,0.00002380037,0.00003726831,0.00002997822,0.00001032027,0.000004825986,0.9989913,0.0003190577,0.0005439806],"genre_scores_gemma":[0.0001597058,0.00002928254,0.0001658564,0.00004132342,0.000003452784,0.0000375315,0.9990379,0.0001306739,0.0003943564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8316132,"threshold_uncertainty_score":0.56331,"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."}}