{"id":"W7106249329","doi":"10.15468/dl.e79nf8","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009268841,0.001635992,0.001380163,0.004914273,0.0009078775,0.002330112,0.002501349,0.001669846,0.1538081],"category_scores_gemma":[0.005381016,0.0007762438,0.00100927,0.01019263,0.0004136227,0.002065119,0.002307903,0.001782436,0.2047743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685363,"about_ca_system_score_gemma":0.002742913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03320451,"about_ca_topic_score_gemma":0.05662566,"domain_scores_codex":[0.9990258,0.000122402,0.0001157757,0.0003311454,0.0002306584,0.0001741863],"domain_scores_gemma":[0.9975937,0.0005836387,0.0002387394,0.0006190487,0.0006620255,0.0003027015],"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":[0.00002474909,0.000008874979,0.0003885764,0.0004056384,0.00001316777,0.00001188576,0.00002033205,0.0001138672,0.0000991081,0.0003723879,0.9971565,0.001384843],"study_design_scores_gemma":[0.00005572701,0.000006703673,0.002113328,0.0001681252,0.00001258397,0.00002784904,0.0000724014,0.0001315821,0.0001794176,0.0007306301,0.9964855,0.00001637804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000349269,0.00001938872,0.00003664475,0.00002669116,0.00001002459,0.000004284174,0.9989826,0.000289604,0.0005957115],"genre_scores_gemma":[0.0001594276,0.00002624428,0.0001785384,0.00003696226,0.000003205203,0.0000319928,0.9989619,0.0001167354,0.0004849989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8461919,"threshold_uncertainty_score":0.5145392,"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."}}