{"id":"W6905912139","doi":"10.15468/dl.vpy8f7","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":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Set (abstract data type)","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":[0.001151798,0.002044537,0.001666864,0.005233936,0.001048446,0.002807534,0.002955403,0.002107691,0.1726751],"category_scores_gemma":[0.006920885,0.000998851,0.001196095,0.01041223,0.0004662919,0.002477668,0.002663495,0.002089742,0.2342466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706266,"about_ca_system_score_gemma":0.002510705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02333849,"about_ca_topic_score_gemma":0.03652415,"domain_scores_codex":[0.9988154,0.000161779,0.0001583165,0.0004139555,0.000265407,0.0001851479],"domain_scores_gemma":[0.9971344,0.0008490874,0.0002626798,0.0007334909,0.0007167695,0.0003034611],"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":[0.00002707356,0.00001006109,0.0003396105,0.000542471,0.00001500933,0.00001476449,0.00002427212,0.0001133429,0.0001071368,0.0003862854,0.997154,0.001265997],"study_design_scores_gemma":[0.00006599304,0.000006752906,0.001623754,0.000187921,0.00001434708,0.00003469265,0.00006959296,0.0001317786,0.0001765038,0.0007541399,0.9969169,0.0000175985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003126283,0.00002333684,0.00004460272,0.00003228751,0.00001047132,0.00000475331,0.9989236,0.0003458161,0.0005837876],"genre_scores_gemma":[0.0001427012,0.00003216957,0.0001927816,0.00004227936,0.000003208952,0.000042091,0.9989434,0.0001628201,0.0004385481],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273249,"threshold_uncertainty_score":0.5776558,"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."}}