{"id":"W6943848278","doi":"10.15468/dl.yavwvr","title":"Occurrence Download","year":2023,"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":[0.0009457862,0.002045789,0.001551571,0.004681125,0.0009488599,0.002370458,0.002805755,0.001974332,0.1432099],"category_scores_gemma":[0.00542196,0.0009275321,0.001189886,0.009450737,0.0004467672,0.002199539,0.002507783,0.002027659,0.2044636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602113,"about_ca_system_score_gemma":0.002260371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02362094,"about_ca_topic_score_gemma":0.03742192,"domain_scores_codex":[0.9990644,0.0001227099,0.0001177107,0.0003211104,0.0002142251,0.0001598605],"domain_scores_gemma":[0.9978058,0.0006038348,0.0002058903,0.0005997239,0.0005269836,0.0002578379],"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":[0.00002964706,0.00001164529,0.0003907059,0.0005199555,0.00001498869,0.00001594132,0.00002744028,0.000141041,0.0001344877,0.000405035,0.9967825,0.001526606],"study_design_scores_gemma":[0.00006817395,0.000007277007,0.001849681,0.0001720422,0.00001328621,0.00003648768,0.00007361217,0.0001573535,0.0002027054,0.0007261725,0.996676,0.00001710561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004482759,0.00002514089,0.00005001127,0.00003336789,0.00001161751,0.000005144223,0.9987515,0.0004462381,0.000632026],"genre_scores_gemma":[0.0001604073,0.0000302732,0.0002081263,0.00003944967,0.000002981922,0.0000394218,0.9989496,0.000165192,0.0004045317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567901,"threshold_uncertainty_score":0.4790847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}