{"id":"W6962157380","doi":"10.15468/dl.sgvbdh","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); Set (abstract data type); 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":[0.001043413,0.001871767,0.001680645,0.005250893,0.0009646165,0.002535174,0.002769881,0.00204664,0.1605809],"category_scores_gemma":[0.006516131,0.0009014935,0.001203313,0.01063643,0.0004442072,0.002150522,0.002447312,0.001961791,0.2106156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150838,"about_ca_system_score_gemma":0.002330015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045906,"about_ca_topic_score_gemma":0.03334944,"domain_scores_codex":[0.9989102,0.0001515722,0.0001510476,0.0003698183,0.0002395127,0.0001779834],"domain_scores_gemma":[0.9972935,0.0008040266,0.0002579195,0.0006748479,0.0006666346,0.0003030965],"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":[0.00003242421,0.00001153955,0.0004072558,0.0006352022,0.00001776703,0.00001568305,0.0000232267,0.0001320312,0.0001241312,0.0003996556,0.9967836,0.001417574],"study_design_scores_gemma":[0.00008565265,0.000008909606,0.002052004,0.0002186218,0.00001690873,0.00003740674,0.00006871445,0.0001389281,0.0001803853,0.0007997731,0.9963743,0.00001832668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003628711,0.00002635571,0.00003624789,0.0000310736,0.00001013803,0.000004670289,0.9990741,0.000272786,0.0005083543],"genre_scores_gemma":[0.0001530947,0.00003391858,0.0001681796,0.00004228948,0.000003443562,0.00004029114,0.9990471,0.0001179932,0.0003936867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8394191,"threshold_uncertainty_score":0.5371968,"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."}}