{"id":"W7083709322","doi":"10.15468/dl.6z3cmx","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Column (typography)","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":[0.0009711671,0.002011467,0.001458471,0.005273319,0.000926105,0.002454935,0.002680495,0.002019427,0.1342736],"category_scores_gemma":[0.005731068,0.0008522633,0.001237871,0.009703861,0.0004524424,0.002385209,0.002516389,0.001886895,0.194242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711234,"about_ca_system_score_gemma":0.002321328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02488986,"about_ca_topic_score_gemma":0.0415061,"domain_scores_codex":[0.9988457,0.0001597695,0.0001584409,0.0003720836,0.0002646052,0.000199391],"domain_scores_gemma":[0.9976171,0.0005867342,0.0002317165,0.0006414962,0.0006391221,0.0002839275],"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":[0.00003555688,0.00001161222,0.0003690745,0.0005357914,0.00001589089,0.00001643604,0.00002097634,0.0001312913,0.0001170061,0.0004038497,0.9969019,0.001440676],"study_design_scores_gemma":[0.0000698744,0.000008671748,0.001854827,0.0001802139,0.00001282051,0.00003995198,0.00006448468,0.0001520028,0.000185459,0.0006890568,0.996726,0.00001643731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000467383,0.00003212371,0.00003790651,0.00003984565,0.00001245907,0.000005618545,0.9987884,0.0003747144,0.0006622664],"genre_scores_gemma":[0.0001634462,0.00003541203,0.0001503061,0.0000487066,0.000003535128,0.00003023736,0.9990326,0.0001162233,0.0004196145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8657264,"threshold_uncertainty_score":0.4491899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121132031892607,"score_gpt":0.2429905969710764,"score_spread":0.2308773937818157,"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."}}