{"id":"W7106146442","doi":"10.15468/dl.xb6z7p","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":[],"consensus_categories":[],"category_scores_codex":[0.0009273068,0.001716543,0.001431931,0.004883294,0.0009008006,0.002279486,0.002505258,0.0016774,0.1575934],"category_scores_gemma":[0.00528297,0.0008027044,0.001046972,0.01009632,0.0003822653,0.002055891,0.002266377,0.001743104,0.2097376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578068,"about_ca_system_score_gemma":0.002577142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03263685,"about_ca_topic_score_gemma":0.05518724,"domain_scores_codex":[0.999079,0.0001200143,0.0001091387,0.0003076311,0.0002187149,0.0001655807],"domain_scores_gemma":[0.9976137,0.0005842865,0.0002259447,0.0006199834,0.0006609004,0.0002952616],"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":[0.00002545939,0.000009662585,0.0004012181,0.000385144,0.00001411745,0.00001213509,0.00001912143,0.0001282199,0.00009349347,0.0003500795,0.9971331,0.001428225],"study_design_scores_gemma":[0.00006631114,0.000007825812,0.002376427,0.0001666139,0.00001387806,0.00003045611,0.00007269462,0.0001699173,0.0002007798,0.0008908307,0.9959858,0.00001850241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003603733,0.00001782304,0.00003755314,0.00002610166,0.000009174627,0.000004371494,0.9989828,0.0003298279,0.0005563459],"genre_scores_gemma":[0.0001517288,0.00002393074,0.0001777834,0.00003449399,0.000003112128,0.00003143528,0.9990084,0.0001250256,0.0004442073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1575934,"threshold_uncertainty_score":0.5272024,"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."}}