{"id":"W6924281928","doi":"10.15468/dl.mtwuqw","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); Data set; 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":[0.0009693266,0.001877354,0.001602048,0.005631768,0.0009399828,0.002575767,0.002681706,0.001935571,0.1663375],"category_scores_gemma":[0.005786564,0.0008723575,0.001172335,0.01129316,0.0004371129,0.00209014,0.002600561,0.001833908,0.2150106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543867,"about_ca_system_score_gemma":0.002391535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143227,"about_ca_topic_score_gemma":0.03498925,"domain_scores_codex":[0.9989566,0.0001315242,0.0001441062,0.0003438312,0.0002364353,0.0001876143],"domain_scores_gemma":[0.9976223,0.0006344342,0.0002415944,0.0006061653,0.0006074505,0.0002880385],"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":[0.0000364357,0.00001134419,0.0004187362,0.0006935081,0.00001845771,0.00001681963,0.00002561959,0.0001266076,0.0001627993,0.0004288752,0.9964414,0.001619308],"study_design_scores_gemma":[0.00007466252,0.00000809407,0.001979129,0.0002107757,0.00001607472,0.00003732737,0.0000670556,0.0001127988,0.000201453,0.0006986488,0.9965773,0.00001680856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003578343,0.0000255104,0.00003442076,0.00002727657,0.000009673046,0.000004680609,0.9990069,0.0002897166,0.0005660374],"genre_scores_gemma":[0.000146565,0.00003398957,0.0001576729,0.00004024557,0.000003148494,0.00003544645,0.9990789,0.0001192506,0.0003847995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8336625,"threshold_uncertainty_score":0.5564544,"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."}}