{"id":"W6887265027","doi":"10.15468/dl.vkzhxr","title":"Occurrence Download","year":2015,"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; Rubus; Matching (statistics); Tsuga; Homonym (biology)","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":[0.0009215544,0.001956935,0.001739454,0.005448115,0.001069783,0.002743859,0.002947383,0.002310716,0.1356766],"category_scores_gemma":[0.006095216,0.0008485439,0.001338836,0.01070783,0.0004196861,0.002575096,0.002594369,0.002058476,0.1994478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00192558,"about_ca_system_score_gemma":0.002622305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02349245,"about_ca_topic_score_gemma":0.03842687,"domain_scores_codex":[0.9988368,0.0001521025,0.0001585427,0.0003998491,0.0002513384,0.0002013112],"domain_scores_gemma":[0.997734,0.0006048243,0.0002269776,0.0005587721,0.0006204539,0.0002550292],"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":[0.00004198988,0.00001432668,0.0005392281,0.0007873306,0.00002013266,0.0000202941,0.00002722803,0.0001640695,0.0001460826,0.0005026559,0.995812,0.001924716],"study_design_scores_gemma":[0.00007433278,0.00000950451,0.001932324,0.000234592,0.00001583174,0.00004107459,0.00007421824,0.0001924676,0.0001758283,0.0007252276,0.9965076,0.00001696914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004943943,0.0000407423,0.00004510966,0.00004017554,0.00001224321,0.000005306665,0.9987785,0.0003730665,0.0006553101],"genre_scores_gemma":[0.0001521023,0.00004265372,0.000182738,0.00004490817,0.000003101605,0.00003572805,0.9990107,0.0001063072,0.0004218371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8643234,"threshold_uncertainty_score":0.4538835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}