{"id":"W6905908207","doi":"10.15468/dl.n5ysbq","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","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":[0.001083207,0.001993131,0.001656016,0.005081165,0.001089722,0.002713402,0.00306665,0.002212872,0.1618467],"category_scores_gemma":[0.006139579,0.0009492736,0.001224332,0.009808404,0.0004755283,0.002452498,0.002691532,0.002087678,0.2252527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777887,"about_ca_system_score_gemma":0.002606041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02470185,"about_ca_topic_score_gemma":0.04215315,"domain_scores_codex":[0.9988803,0.0001533894,0.0001486304,0.0003929081,0.000243015,0.0001817512],"domain_scores_gemma":[0.9973116,0.0007561073,0.0002430087,0.0007072992,0.0006848419,0.000297176],"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":[0.00002755964,0.00001083582,0.0003317657,0.0005376444,0.00001460163,0.00001496922,0.00002444252,0.0001076525,0.0001175158,0.0004071351,0.997068,0.001337919],"study_design_scores_gemma":[0.00006324903,0.000007101341,0.001606714,0.0001837291,0.00001380274,0.00003613688,0.00006912223,0.0001248961,0.0001815572,0.0007528288,0.9969431,0.00001780105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003514953,0.00002505411,0.00004737465,0.00003521334,0.00001169612,0.000005220108,0.9988411,0.0003592703,0.0006399328],"genre_scores_gemma":[0.0001441289,0.00003233058,0.0002087711,0.00004430878,0.000003237848,0.00004100909,0.9989101,0.0001472265,0.0004689733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8381532,"threshold_uncertainty_score":0.5414313,"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."}}