{"id":"W6886994124","doi":"10.15468/dl.au8xs3","title":"Occurrence Download","year":2024,"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); Data set","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":[0.0009546567,0.00191846,0.001514781,0.004821718,0.001038307,0.002446953,0.002867617,0.00218186,0.1441182],"category_scores_gemma":[0.005549288,0.0008643138,0.001192257,0.009064927,0.0004740185,0.002370008,0.002515126,0.002045801,0.2069476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603027,"about_ca_system_score_gemma":0.002374629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294206,"about_ca_topic_score_gemma":0.04153972,"domain_scores_codex":[0.9989941,0.0001436189,0.0001186743,0.000355716,0.0002176494,0.0001701864],"domain_scores_gemma":[0.9976178,0.0006617779,0.000218778,0.0006325705,0.0005901798,0.000278846],"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":[0.00002974259,0.00001212347,0.0003964952,0.0005078385,0.00001433915,0.0000154949,0.0000240599,0.0001268809,0.0001264505,0.0003843774,0.9969132,0.001449022],"study_design_scores_gemma":[0.0000639139,0.000008753846,0.001820533,0.0001758584,0.00001398482,0.00003874416,0.00007651813,0.0001518958,0.0001986199,0.0007656587,0.9966674,0.00001814671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005157544,0.00003090375,0.00004796433,0.00004229238,0.00001352232,0.000005538619,0.9987364,0.0003897095,0.0006819844],"genre_scores_gemma":[0.000168743,0.00003348946,0.0002024658,0.00004657899,0.000003349989,0.00003916648,0.9988492,0.0001386493,0.0005184276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8558818,"threshold_uncertainty_score":0.4821236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}