{"id":"W4396350217","doi":"10.15468/dl.gjmr62","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0008789745,0.001843287,0.001471086,0.004430317,0.0008938109,0.002570189,0.00245596,0.001939221,0.1438185],"category_scores_gemma":[0.005385696,0.0008753368,0.001228809,0.008998861,0.0003860019,0.002258358,0.002276709,0.001863366,0.2102736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561117,"about_ca_system_score_gemma":0.002155929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166689,"about_ca_topic_score_gemma":0.03260919,"domain_scores_codex":[0.999055,0.000123366,0.0001403414,0.0003177488,0.0002042697,0.0001593969],"domain_scores_gemma":[0.9978824,0.000575975,0.0002128411,0.0005368958,0.0005441904,0.0002476088],"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":[0.00003637783,0.00001158224,0.0004791794,0.0005738669,0.00001661413,0.00001787141,0.00002433179,0.0001549443,0.0001142741,0.0003773237,0.99651,0.001683579],"study_design_scores_gemma":[0.00007977324,0.000008045631,0.002078346,0.0001763389,0.00001300257,0.00003778221,0.00007047507,0.000191541,0.0001658234,0.0007091161,0.9964536,0.00001627882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004083497,0.00002344785,0.00004057956,0.00003360326,0.00001125732,0.000004977408,0.9989321,0.0003670254,0.0005461731],"genre_scores_gemma":[0.0001684723,0.00003464531,0.0001945745,0.00004450931,0.000003681338,0.00003748467,0.9989738,0.0001355042,0.0004072648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8561815,"threshold_uncertainty_score":0.4811208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484850230871555,"score_gpt":0.2268166199254699,"score_spread":0.2019681176167544,"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."}}