{"id":"W6924441248","doi":"10.15468/dl.m9cegg","title":"Occurrence Download","year":2017,"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); Confidentiality; Set (abstract data type)","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":[0.001025178,0.002024239,0.001644236,0.005131956,0.001024513,0.002778962,0.003025789,0.002107551,0.1349637],"category_scores_gemma":[0.006067228,0.000885286,0.001225835,0.01049726,0.0004416636,0.002634028,0.00273108,0.002221793,0.2118978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672872,"about_ca_system_score_gemma":0.002612548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210559,"about_ca_topic_score_gemma":0.04082459,"domain_scores_codex":[0.9988042,0.0001694746,0.0001456437,0.0004112528,0.0002778687,0.0001915703],"domain_scores_gemma":[0.9973261,0.0007016214,0.000246464,0.000747429,0.0006760587,0.0003023742],"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":[0.00002471815,0.00001095506,0.0003517706,0.000441385,0.00001479347,0.00001341925,0.0000210479,0.0001144496,0.00009481168,0.0004267297,0.9972568,0.001229075],"study_design_scores_gemma":[0.00006165525,0.000007065187,0.001585692,0.0001665078,0.00001279405,0.00003332287,0.00006380597,0.0001475547,0.0001696208,0.0008604299,0.9968754,0.00001613203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004180383,0.00002930174,0.00004868694,0.0000386085,0.00001251103,0.000005061243,0.9987351,0.0003985535,0.000690442],"genre_scores_gemma":[0.0001329754,0.00003144713,0.00017471,0.00003760216,0.000003126927,0.00003210914,0.9990354,0.0001255649,0.0004271065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8650362,"threshold_uncertainty_score":0.4514986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}