{"id":"W6962263553","doi":"10.15468/dl.q58gj5","title":"Occurrence Download","year":2021,"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; 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":[0.001111888,0.002071758,0.00185689,0.005641077,0.001045841,0.002947017,0.003167568,0.002225532,0.172765],"category_scores_gemma":[0.006417479,0.001021567,0.001246795,0.01129545,0.0004750734,0.002519842,0.002720957,0.002197509,0.2291703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725526,"about_ca_system_score_gemma":0.002476102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110967,"about_ca_topic_score_gemma":0.03249574,"domain_scores_codex":[0.9988652,0.0001534284,0.0001451229,0.0003939393,0.0002564599,0.0001857372],"domain_scores_gemma":[0.9973065,0.0007871804,0.0002481884,0.0007126971,0.0006394333,0.0003060288],"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":[0.00002964769,0.0000109725,0.000345918,0.000607434,0.00001655844,0.000014661,0.00002348884,0.0001282371,0.0001153483,0.0004077092,0.9968238,0.001476164],"study_design_scores_gemma":[0.00006911302,0.000007448433,0.001642811,0.0002004308,0.00001512144,0.0000349772,0.00006847264,0.0001401285,0.0001814046,0.000732136,0.9968908,0.0000172147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003509975,0.00002826491,0.00004245418,0.00003348468,0.00001059863,0.000004851821,0.998923,0.0003494889,0.0005726861],"genre_scores_gemma":[0.0001431561,0.0000348071,0.0001828216,0.00003927466,0.000002966478,0.0000392717,0.9989676,0.0001466035,0.0004434648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.827235,"threshold_uncertainty_score":0.5779566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}