{"id":"W6924555628","doi":"10.15468/dl.qgz5en","title":"Occurrence Download","year":2019,"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; Training set","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":[0.0009922141,0.001943016,0.001634033,0.005539578,0.001000007,0.002635236,0.002886361,0.002070517,0.1543663],"category_scores_gemma":[0.005923787,0.0008789908,0.001183357,0.01039046,0.0004533017,0.002361159,0.002838579,0.001982925,0.205585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636277,"about_ca_system_score_gemma":0.002434003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282167,"about_ca_topic_score_gemma":0.03889922,"domain_scores_codex":[0.9988973,0.0001442004,0.0001551537,0.0003679662,0.0002428502,0.0001925245],"domain_scores_gemma":[0.9974388,0.0006777048,0.0002532294,0.0006859978,0.0006378351,0.0003064435],"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":[0.00003584759,0.0000122306,0.0004084856,0.0006460685,0.00001744593,0.0000174179,0.00002623213,0.0001159858,0.000139757,0.000431926,0.996673,0.001475541],"study_design_scores_gemma":[0.00007526834,0.000008475453,0.001963824,0.0002063329,0.00001520534,0.00003946644,0.0000727232,0.0001268769,0.0001940432,0.000736978,0.9965429,0.00001796352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003961186,0.00002689196,0.00003786728,0.0000328387,0.00001080801,0.000005220995,0.9989127,0.0003424509,0.0005916524],"genre_scores_gemma":[0.0001498315,0.00003411201,0.0001685267,0.00004392108,0.000003182409,0.00003634808,0.9990441,0.0001256823,0.0003942629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456337,"threshold_uncertainty_score":0.5164068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}