{"id":"W6906061587","doi":"10.15468/dl.wy9dzu","title":"Occurrence Download","year":2023,"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); Set (abstract data type); Order (exchange)","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":[0.001021874,0.002050062,0.001716283,0.005043052,0.001063804,0.002704367,0.002989735,0.00231803,0.166136],"category_scores_gemma":[0.006498162,0.0009629834,0.001252438,0.009530138,0.0004632717,0.002433849,0.002765726,0.002099182,0.2322858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747307,"about_ca_system_score_gemma":0.00251564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295092,"about_ca_topic_score_gemma":0.03690121,"domain_scores_codex":[0.9989117,0.0001390798,0.0001364874,0.0003857341,0.0002449826,0.000182023],"domain_scores_gemma":[0.9975389,0.0006961718,0.0002280042,0.0006344014,0.0006175931,0.0002848854],"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":[0.00002969207,0.00001070222,0.000372075,0.0005484253,0.00001486866,0.00001522968,0.00002522196,0.0001210462,0.0001152572,0.0003887023,0.9969935,0.001365127],"study_design_scores_gemma":[0.00007581344,0.000008025059,0.001725126,0.0002058572,0.00001472539,0.00003751384,0.00007387707,0.0001615372,0.0001891789,0.0008152828,0.9966745,0.00001843504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000362293,0.00002669517,0.00004532167,0.00003593612,0.00001151491,0.000005203169,0.9987962,0.0004366324,0.000606155],"genre_scores_gemma":[0.000156097,0.00003250166,0.0002044584,0.00004783256,0.000003237845,0.00004202799,0.9988959,0.0001753327,0.000442657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.833864,"threshold_uncertainty_score":0.5557801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}