{"id":"W6905955989","doi":"10.15468/dl.ncg3no","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); Data set; 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":[0.001000151,0.001929421,0.001551564,0.005441045,0.0009295634,0.002508282,0.002885656,0.00206089,0.1348018],"category_scores_gemma":[0.006089842,0.0008483887,0.001185286,0.01058141,0.000447495,0.002216249,0.002498756,0.001964982,0.1908075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550957,"about_ca_system_score_gemma":0.002407386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019459,"about_ca_topic_score_gemma":0.03470407,"domain_scores_codex":[0.9989034,0.0001523474,0.000148324,0.0003616792,0.0002496614,0.0001844786],"domain_scores_gemma":[0.9973915,0.0007347947,0.0002601462,0.0006944442,0.0006159361,0.0003032497],"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":[0.00003006293,0.00001239681,0.0004397783,0.0005267399,0.00001679907,0.00001666362,0.00002177109,0.0001324151,0.0001124109,0.0003765754,0.9969411,0.001373288],"study_design_scores_gemma":[0.00008212317,0.000009737902,0.002333386,0.0002143129,0.00001699375,0.00004743551,0.00007724469,0.0001793128,0.000205835,0.0007999058,0.9960151,0.00001860622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005315318,0.00003202655,0.00004302349,0.00003710757,0.00001216144,0.000005586501,0.9988689,0.0003486847,0.0005993209],"genre_scores_gemma":[0.0001583467,0.00003150795,0.0001520634,0.00003749834,0.000003287524,0.00003398375,0.9991162,0.00009800904,0.0003690168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8651982,"threshold_uncertainty_score":0.450957,"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."}}