{"id":"W6961854483","doi":"10.15468/dl.plhpha","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); Order (exchange); 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":[0.001010439,0.002169484,0.001660083,0.004984544,0.001024219,0.002656523,0.00321698,0.002204757,0.1214427],"category_scores_gemma":[0.006027123,0.0008574958,0.001294411,0.00918062,0.0004763826,0.002364387,0.00261223,0.002107498,0.1990853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708783,"about_ca_system_score_gemma":0.002540668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02197617,"about_ca_topic_score_gemma":0.03568213,"domain_scores_codex":[0.9989083,0.0001460737,0.0001350507,0.0003754367,0.0002487077,0.0001864532],"domain_scores_gemma":[0.9976161,0.0006236827,0.0002254107,0.0006662847,0.0005863152,0.0002823564],"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":[0.00003069576,0.00001312541,0.0004520057,0.0004857981,0.00001658978,0.00001738578,0.00002223709,0.0001485747,0.0001149876,0.0003850972,0.9969301,0.001383586],"study_design_scores_gemma":[0.00008801759,0.00001064342,0.002171394,0.000207615,0.00001718767,0.00005207331,0.00008081309,0.0002319674,0.0002241928,0.0008791965,0.9960167,0.00002015065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005804811,0.00003802994,0.00005188954,0.00004514738,0.00001557388,0.000005960071,0.998677,0.0004851686,0.0006232088],"genre_scores_gemma":[0.0001559791,0.00003212096,0.0001633809,0.00003875473,0.000003365848,0.00003261715,0.999103,0.0001145647,0.0003561967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8785573,"threshold_uncertainty_score":0.4062662,"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."}}