{"id":"W6905919830","doi":"10.15468/dl.rxhje9","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; Reference data","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":[0.0008688776,0.002046112,0.001820008,0.005724029,0.001074287,0.002977652,0.002920685,0.002122182,0.1562315],"category_scores_gemma":[0.0061179,0.0008969739,0.001421673,0.01150068,0.000454102,0.002601129,0.002737805,0.002049555,0.2325849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635367,"about_ca_system_score_gemma":0.002604791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02076404,"about_ca_topic_score_gemma":0.03311242,"domain_scores_codex":[0.998901,0.0001349802,0.0001494388,0.0003937786,0.000235471,0.0001853546],"domain_scores_gemma":[0.9976348,0.0006374351,0.0002188948,0.0005985071,0.0006433708,0.0002669618],"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":[0.00003816214,0.00001155781,0.0004964125,0.0008444663,0.0000204406,0.00001933174,0.00002942783,0.00014901,0.000145191,0.0004598419,0.9957665,0.00201961],"study_design_scores_gemma":[0.00006223498,0.000008203669,0.001665349,0.0002301864,0.00001529756,0.0000383272,0.0000746372,0.0001525733,0.0001555114,0.0007417306,0.9968398,0.00001623898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004718984,0.00004661049,0.00004924157,0.0000399347,0.00001472937,0.000005393622,0.998632,0.0004555706,0.0007092616],"genre_scores_gemma":[0.0001595693,0.00005323918,0.0002003012,0.00005017487,0.000003992036,0.00003617622,0.9988701,0.0001510518,0.0004754116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8437685,"threshold_uncertainty_score":0.5226464,"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."}}