{"id":"W6905887032","doi":"10.15468/dl.xggt4u","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Species name","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":[0.001029353,0.002017192,0.001627206,0.005446776,0.001021517,0.002760805,0.003080201,0.002071492,0.1371099],"category_scores_gemma":[0.006220261,0.0009007882,0.001237957,0.01021573,0.0004799784,0.00240183,0.002902713,0.002161642,0.2135699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685528,"about_ca_system_score_gemma":0.002686195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195675,"about_ca_topic_score_gemma":0.03705066,"domain_scores_codex":[0.9989117,0.0001430179,0.0001392901,0.0003612514,0.0002562389,0.0001884597],"domain_scores_gemma":[0.9973628,0.0007015773,0.0002552325,0.0007227379,0.0006517112,0.0003059346],"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":[0.00002588646,0.00001149073,0.0003914421,0.0004874585,0.00001514322,0.0000159013,0.00002497298,0.0001135077,0.000108462,0.0003999214,0.9970605,0.001345318],"study_design_scores_gemma":[0.00006591554,0.000008125876,0.001870696,0.0002025385,0.00001496654,0.00004275076,0.00008036382,0.0001481597,0.0002012781,0.0007508717,0.9965965,0.00001790109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004906518,0.00003329092,0.00004927676,0.00004261556,0.00001497133,0.00000590787,0.9987016,0.0004480086,0.0006552658],"genre_scores_gemma":[0.0001467323,0.00003484357,0.000176829,0.00003956696,0.000003447793,0.00003893117,0.9989991,0.0001392061,0.0004213188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8628901,"threshold_uncertainty_score":0.4586784,"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."}}