{"id":"W6943694037","doi":"10.15468/dl.uq7gkt","title":"Occurrence Download","year":2019,"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); Collectable; UniProt","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":[0.0008611243,0.001959189,0.001529481,0.004851115,0.001030952,0.002398411,0.002867071,0.002123236,0.1417186],"category_scores_gemma":[0.005625251,0.0008272578,0.001131312,0.009081261,0.0004470428,0.002329793,0.002470294,0.001935707,0.200956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623896,"about_ca_system_score_gemma":0.002217924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226301,"about_ca_topic_score_gemma":0.03729998,"domain_scores_codex":[0.999088,0.0001262561,0.0001151985,0.0003192063,0.0002010964,0.0001502334],"domain_scores_gemma":[0.9978452,0.0006162744,0.0001959978,0.000565849,0.0005343846,0.000242328],"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":[0.00002797947,0.00001204191,0.0004160376,0.0005391988,0.00001450653,0.0000165302,0.00002391018,0.0001339068,0.0001146659,0.0003513899,0.9967949,0.001554957],"study_design_scores_gemma":[0.00006978436,0.000008906121,0.001983314,0.000206041,0.00001458599,0.00004288209,0.00008173203,0.0001969381,0.0001883901,0.0007459213,0.9964445,0.00001700912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005386855,0.00003614663,0.00004801492,0.00004157537,0.00001442233,0.000005966559,0.998694,0.0004247165,0.0006814327],"genre_scores_gemma":[0.0001814002,0.00003652614,0.0001998432,0.00004637071,0.000003726302,0.00004200586,0.9989089,0.0001281961,0.0004531539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8582814,"threshold_uncertainty_score":0.4740959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}