{"id":"W7108731118","doi":"10.15468/dl.t594ah","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); Real world data","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":[0.001157303,0.00179404,0.001605707,0.004925686,0.001012622,0.002697745,0.002884386,0.002138651,0.1717171],"category_scores_gemma":[0.006970711,0.0009412626,0.001110774,0.009350464,0.0004644155,0.002446208,0.00256313,0.002072203,0.2306439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708078,"about_ca_system_score_gemma":0.00244755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218403,"about_ca_topic_score_gemma":0.03470897,"domain_scores_codex":[0.9988526,0.0001571922,0.0001518949,0.0003989734,0.0002567325,0.0001825962],"domain_scores_gemma":[0.9970401,0.0008593148,0.0002914615,0.0007582697,0.0007222733,0.0003285659],"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":[0.00002640497,0.00001058882,0.0003558487,0.0004839959,0.00001376525,0.00001198327,0.00002170842,0.0001112711,0.0000964819,0.0003669259,0.9971448,0.001356121],"study_design_scores_gemma":[0.00006758445,0.000007319482,0.001852429,0.000198055,0.00001396429,0.0000306232,0.00007146474,0.0001397393,0.0001702093,0.0007624832,0.996669,0.00001724647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003292079,0.00002139992,0.00004034605,0.00003401859,0.00001092712,0.00000456217,0.9990043,0.0003042396,0.0005472914],"genre_scores_gemma":[0.0001511979,0.00002985395,0.000195537,0.00004509596,0.000003490704,0.00003985918,0.998938,0.0001397823,0.0004572012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.828283,"threshold_uncertainty_score":0.5744509,"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."}}