{"id":"W6905983416","doi":"10.15468/dl.x6vb2h","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); The Internet","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":[0.0009399684,0.001891897,0.001472973,0.005238775,0.001014014,0.002481801,0.002792257,0.001970473,0.1464773],"category_scores_gemma":[0.005778024,0.000892179,0.001150463,0.01012423,0.0004436617,0.002424257,0.00252523,0.001939374,0.1954394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792698,"about_ca_system_score_gemma":0.002628833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02953506,"about_ca_topic_score_gemma":0.04862598,"domain_scores_codex":[0.9989194,0.0001481794,0.0001396074,0.0003640423,0.0002425496,0.0001862912],"domain_scores_gemma":[0.9975634,0.0006640557,0.0002322919,0.0006296039,0.0006260569,0.0002846768],"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":[0.00002901264,0.00001112769,0.000420654,0.0004980614,0.00001470438,0.00001583281,0.00002387972,0.0001357495,0.0001116953,0.000419365,0.9969223,0.001397484],"study_design_scores_gemma":[0.00006214379,0.000007360018,0.001871107,0.000174314,0.00001346859,0.0000383923,0.00007654264,0.0001597331,0.0001817975,0.0007583165,0.9966396,0.00001713148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000439053,0.0000259944,0.00004413102,0.00003548543,0.00001166692,0.00000471769,0.9988404,0.0003527079,0.0006409517],"genre_scores_gemma":[0.000158354,0.00003066643,0.0001816098,0.00003877879,0.000002971241,0.00003233039,0.9989815,0.0001196546,0.0004541697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8535227,"threshold_uncertainty_score":0.4900153,"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."}}