{"id":"W7106246649","doi":"10.15468/dl.q9btm4","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; 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":[0.00095598,0.001898598,0.00167051,0.005886044,0.001073685,0.002642558,0.002912239,0.002085993,0.1651763],"category_scores_gemma":[0.006269365,0.0009089841,0.001133589,0.01131365,0.0004713909,0.002367072,0.00268884,0.001989437,0.2210553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815819,"about_ca_system_score_gemma":0.002784255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02951037,"about_ca_topic_score_gemma":0.04840187,"domain_scores_codex":[0.9989021,0.0001327114,0.000136899,0.0003744148,0.0002552842,0.000198483],"domain_scores_gemma":[0.997336,0.0007089899,0.0002597787,0.0006628661,0.0007001389,0.0003321879],"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":[0.0000287785,0.00001016668,0.0003638843,0.0005774651,0.00001442157,0.00001513415,0.00002363568,0.00009971941,0.0001202944,0.0003788071,0.9970347,0.00133286],"study_design_scores_gemma":[0.00006175685,0.00000693925,0.001900426,0.0001977026,0.00001380089,0.00003468623,0.00007122041,0.0001051452,0.0001811899,0.0006452111,0.9967648,0.00001711924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003797462,0.00002645302,0.00003465128,0.00003069869,0.00001015952,0.000004731476,0.9988945,0.0003215154,0.0006393353],"genre_scores_gemma":[0.0001495894,0.00003211848,0.0001572364,0.00004109113,0.000003145218,0.00003431247,0.999003,0.0001305689,0.0004490865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348237,"threshold_uncertainty_score":0.5525699,"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."}}