{"id":"W6887167745","doi":"10.15468/dl.snrxqb","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0008912027,0.002024657,0.001500589,0.004818308,0.0009513248,0.002421447,0.002563191,0.001919984,0.1633278],"category_scores_gemma":[0.005745225,0.0008701585,0.001174386,0.009720747,0.0004399383,0.002097159,0.002453254,0.001792329,0.2240568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455958,"about_ca_system_score_gemma":0.002222507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057364,"about_ca_topic_score_gemma":0.03318505,"domain_scores_codex":[0.9990121,0.0001331601,0.0001253576,0.0003550618,0.0002055499,0.0001687392],"domain_scores_gemma":[0.997667,0.0006618759,0.0002260613,0.0005976156,0.0005828672,0.0002646183],"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":[0.00003128604,0.00001141095,0.0004084086,0.0005238802,0.00001383561,0.00001438371,0.00002152086,0.0001315522,0.0001220429,0.0003520808,0.9968901,0.001479387],"study_design_scores_gemma":[0.00007534425,0.00001030063,0.001916331,0.0001839656,0.00001470572,0.0000356119,0.00006859793,0.0001597509,0.00019617,0.0007751078,0.9965457,0.00001848247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004479752,0.00002494337,0.0000389407,0.00003200286,0.00001215264,0.000004913782,0.998869,0.0003626395,0.0006105462],"genre_scores_gemma":[0.0001631897,0.00003265925,0.0001925849,0.00004457651,0.000003721749,0.00004131119,0.9988862,0.0001479576,0.000487936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8366722,"threshold_uncertainty_score":0.5463859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}