{"id":"W6943378161","doi":"10.15468/dl.hfn2mq","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); Order (exchange)","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":[0.001022536,0.002001299,0.001698757,0.004989802,0.001000645,0.002585446,0.002926146,0.002074695,0.1555548],"category_scores_gemma":[0.005869335,0.0009131269,0.001199129,0.009637256,0.0004401669,0.002299663,0.002535568,0.002055378,0.2193267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596943,"about_ca_system_score_gemma":0.002364327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0215827,"about_ca_topic_score_gemma":0.03588351,"domain_scores_codex":[0.9989486,0.0001386638,0.0001342111,0.0003729753,0.0002327061,0.0001728572],"domain_scores_gemma":[0.9976706,0.0006391381,0.0002243002,0.0005970605,0.000587586,0.0002812793],"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":[0.00002884105,0.00001136166,0.0003459581,0.0005894664,0.00001662273,0.0000147177,0.00002278088,0.0001182222,0.0001295965,0.0003969479,0.9970059,0.001319561],"study_design_scores_gemma":[0.00007441925,0.000007992334,0.001857845,0.0001969135,0.00001612051,0.00003590709,0.00006471454,0.0001315786,0.0001966433,0.0007951926,0.9966046,0.00001813455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003663695,0.00002680256,0.00004124246,0.00003119963,0.0000107318,0.000004968388,0.9989064,0.0003326444,0.000609484],"genre_scores_gemma":[0.0001449282,0.00003190168,0.0001780618,0.0000430436,0.000003047352,0.00003891826,0.9990069,0.0001299525,0.0004232445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444452,"threshold_uncertainty_score":0.5203828,"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."}}