{"id":"W6962069626","doi":"10.15468/dl.kuwdm3","title":"Occurrence Download","year":2016,"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; The Internet","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":[0.0009727265,0.00196394,0.001487689,0.004790707,0.0009713647,0.002457033,0.003061652,0.002133654,0.1327446],"category_scores_gemma":[0.005748782,0.0008580576,0.00117445,0.009309911,0.000461816,0.002504618,0.002658198,0.002123045,0.1967488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695738,"about_ca_system_score_gemma":0.002420788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02218816,"about_ca_topic_score_gemma":0.03926538,"domain_scores_codex":[0.9989842,0.0001390971,0.0001214194,0.0003552041,0.0002276151,0.0001724365],"domain_scores_gemma":[0.9976616,0.0006011202,0.000223853,0.0006592728,0.0005691845,0.0002849754],"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":[0.00002705658,0.0000120484,0.0003912659,0.0004320539,0.00001357171,0.00001438352,0.00002291733,0.0001249256,0.0001033035,0.0003998175,0.9971485,0.001310107],"study_design_scores_gemma":[0.00006964216,0.00000833484,0.001911214,0.0001754181,0.00001310364,0.00004106913,0.00007425093,0.0001719952,0.0001876054,0.000852033,0.9964779,0.00001741456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005453667,0.00003098537,0.00005179066,0.00004321696,0.00001388874,0.000005728974,0.9986418,0.0004350064,0.0007231025],"genre_scores_gemma":[0.0001617065,0.00003039628,0.0001838307,0.00004073768,0.000003115356,0.00003533092,0.9989568,0.0001305145,0.0004575695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8672554,"threshold_uncertainty_score":0.4440749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}