{"id":"W6887101241","doi":"10.15468/dl.m8t86z","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Data 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":[0.0008612497,0.001952481,0.001542422,0.004917107,0.0009013574,0.002419655,0.002636525,0.001793849,0.1679679],"category_scores_gemma":[0.005384049,0.000926109,0.001087161,0.009780879,0.00040868,0.002203014,0.002503122,0.001807002,0.2242027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416627,"about_ca_system_score_gemma":0.002175938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936486,"about_ca_topic_score_gemma":0.03400699,"domain_scores_codex":[0.9989943,0.0001302005,0.0001297075,0.0003635064,0.0002097136,0.0001725671],"domain_scores_gemma":[0.9976514,0.000610107,0.0002395547,0.0006154445,0.0006014353,0.0002821587],"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":[0.0000331503,0.0000109414,0.0003925091,0.0005231497,0.0000143368,0.00001319007,0.0000203155,0.0001114955,0.0001165133,0.0003656327,0.997012,0.001386775],"study_design_scores_gemma":[0.00007535471,0.000008879957,0.001949955,0.0001740605,0.00001410196,0.00003413535,0.00006026399,0.0001282356,0.0001759967,0.000765447,0.9965957,0.0000179493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000371939,0.00002160635,0.00003416384,0.00002636226,0.0000100384,0.000004313015,0.9990144,0.0002819753,0.0005698525],"genre_scores_gemma":[0.000144302,0.00003039038,0.0001688956,0.00004332182,0.000003438465,0.00003714127,0.9989706,0.0001235976,0.00047829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320321,"threshold_uncertainty_score":0.5619087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}