{"id":"W6924557814","doi":"10.15468/dl.ysikln","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); Ursus; Range (aeronautics); 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":[0.0008117642,0.003341349,0.002374879,0.006736536,0.001321794,0.003400951,0.002513919,0.002756305,0.2766804],"category_scores_gemma":[0.005172985,0.001122559,0.002108318,0.008727801,0.0004027495,0.003683965,0.003627056,0.002182213,0.3572228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457562,"about_ca_system_score_gemma":0.00244539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02004868,"about_ca_topic_score_gemma":0.03196474,"domain_scores_codex":[0.998813,0.0001332633,0.0001761219,0.000426786,0.0002412435,0.0002095686],"domain_scores_gemma":[0.9976143,0.0006979498,0.0001854852,0.000614183,0.0005574314,0.0003307239],"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":[0.00006964857,0.00002311074,0.0003483953,0.0007254621,0.00001920822,0.00003440208,0.00003215409,0.0001405513,0.0001524217,0.0004144927,0.9946319,0.003408294],"study_design_scores_gemma":[0.0001208213,0.00001797614,0.001567473,0.0002099922,0.00002336121,0.00007691191,0.00009472296,0.0004377895,0.0002650263,0.001291947,0.9958611,0.00003287821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009641454,0.00007696776,0.000156567,0.00006943797,0.00003954611,0.0000174879,0.9942188,0.003007437,0.002317275],"genre_scores_gemma":[0.0003029632,0.00007740845,0.00065903,0.000115531,0.0000112725,0.00006218331,0.997048,0.0005939841,0.001129607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7233196,"threshold_uncertainty_score":0.9255881,"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."}}