{"id":"W6905902654","doi":"10.15468/dl.zus9nh","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","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":[0.0009712711,0.001978893,0.001566057,0.005277593,0.000930016,0.002561525,0.002788527,0.001956131,0.1559143],"category_scores_gemma":[0.005905378,0.0009067908,0.001169783,0.01004685,0.0004487654,0.00220166,0.002625093,0.001910524,0.2216167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556243,"about_ca_system_score_gemma":0.002284871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02168774,"about_ca_topic_score_gemma":0.03534104,"domain_scores_codex":[0.9989196,0.0001474569,0.000141492,0.0003661377,0.0002416411,0.00018369],"domain_scores_gemma":[0.9974812,0.0006598192,0.0002442111,0.0006828706,0.0006279798,0.0003039629],"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":[0.00003089709,0.00001099053,0.0003558206,0.0005527034,0.00001541304,0.00001460015,0.00002268392,0.0001164002,0.0001216489,0.0003846799,0.9969483,0.001425945],"study_design_scores_gemma":[0.00007297646,0.000008125836,0.001847118,0.0001834247,0.00001422263,0.00003612287,0.00006390484,0.0001298119,0.000185356,0.0007430871,0.996699,0.00001681362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004159104,0.00002667773,0.00004087308,0.00003233672,0.00001047356,0.000005038012,0.9988399,0.0003682287,0.0006349632],"genre_scores_gemma":[0.0001530107,0.00003105244,0.0001642374,0.00004240882,0.000003137523,0.00003488332,0.99901,0.0001368491,0.0004243984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440857,"threshold_uncertainty_score":0.5215853,"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."}}