{"id":"W6962059559","doi":"10.15468/dl.u2f3b9","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":"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":[0.001024643,0.001941043,0.001539673,0.00529104,0.0009549218,0.002586362,0.002827018,0.001879287,0.1610423],"category_scores_gemma":[0.006014213,0.0009102407,0.00116506,0.01019371,0.0004513932,0.002266759,0.002676367,0.00189474,0.228463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578014,"about_ca_system_score_gemma":0.002370215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228808,"about_ca_topic_score_gemma":0.03625692,"domain_scores_codex":[0.9989078,0.0001513558,0.0001427021,0.0003666558,0.0002460437,0.0001855431],"domain_scores_gemma":[0.9975353,0.0006229582,0.0002381143,0.0006793983,0.0006250258,0.000299215],"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":[0.0000297037,0.00001011258,0.000322397,0.0005060669,0.00001439323,0.00001361287,0.00002171709,0.0001060248,0.0001101875,0.0003835491,0.997074,0.00140819],"study_design_scores_gemma":[0.00006499312,0.000007022075,0.001638129,0.000169967,0.0000127184,0.0000329122,0.00006028983,0.0001141127,0.0001765756,0.000733328,0.9969743,0.00001568043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003974134,0.0000273415,0.00004153077,0.00003324091,0.00001028849,0.000005239575,0.998765,0.0003864511,0.0006911571],"genre_scores_gemma":[0.0001540846,0.00003223584,0.000168857,0.00004499833,0.00000314561,0.00003619174,0.9989557,0.0001468365,0.0004578037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389577,"threshold_uncertainty_score":0.5387403,"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."}}