{"id":"W6943643850","doi":"10.15468/dl.pxm8tg","title":"Occurrence Download","year":2015,"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":[0.001050313,0.002042783,0.001559028,0.004908703,0.001009679,0.002516913,0.003014633,0.002219001,0.1248842],"category_scores_gemma":[0.006249901,0.0008937441,0.001289753,0.0092515,0.0004592693,0.002279363,0.002596033,0.002065789,0.1825294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701773,"about_ca_system_score_gemma":0.002496709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02187648,"about_ca_topic_score_gemma":0.03617295,"domain_scores_codex":[0.9988791,0.0001570954,0.0001438668,0.0003822735,0.0002524224,0.0001852095],"domain_scores_gemma":[0.997468,0.0006932884,0.0002424902,0.0007053863,0.000597473,0.0002933334],"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":[0.00002994712,0.00001335089,0.0004462682,0.0004765413,0.00001620154,0.00001444135,0.00002276575,0.0001389154,0.0001021632,0.000346732,0.9969407,0.001451956],"study_design_scores_gemma":[0.00009700246,0.00001165275,0.00253016,0.0002223053,0.00001727012,0.00004539984,0.00008176827,0.0002393753,0.0002055137,0.0008258473,0.9957044,0.00001934459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006435789,0.0000376288,0.00004969792,0.00004685419,0.0000159319,0.000006611007,0.9986901,0.0004670514,0.0006218619],"genre_scores_gemma":[0.0001707254,0.00003174884,0.0001718058,0.00004298736,0.000003460493,0.00003816472,0.9990364,0.0001099397,0.0003946985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8751158,"threshold_uncertainty_score":0.4177794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}