{"id":"W6943061912","doi":"10.15468/dl.q79prz","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); Alien; Range (aeronautics)","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":[0.001026222,0.001996508,0.001602984,0.004792994,0.001012763,0.002606708,0.002880633,0.002186141,0.1635832],"category_scores_gemma":[0.005961083,0.0009168085,0.001258689,0.009469567,0.0004625154,0.002451268,0.002549606,0.002091369,0.2276211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633512,"about_ca_system_score_gemma":0.002372634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247721,"about_ca_topic_score_gemma":0.03717663,"domain_scores_codex":[0.998928,0.0001536465,0.0001314933,0.0003747553,0.000233986,0.0001780863],"domain_scores_gemma":[0.9973833,0.0007649437,0.0002359416,0.0007010995,0.0006220787,0.0002927158],"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":[0.00002847163,0.00001141558,0.0003375423,0.0004858406,0.00001394117,0.00001352264,0.00002101266,0.0001231134,0.0001002426,0.0003564903,0.9972288,0.001279666],"study_design_scores_gemma":[0.00007587842,0.000008495649,0.001827946,0.0001894512,0.00001395634,0.00003404537,0.00007177826,0.0001511563,0.0001848271,0.0008546765,0.9965693,0.0000185219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003707199,0.00002360019,0.00004024533,0.00003602913,0.0000117039,0.000004997169,0.9989165,0.0003407494,0.0005891609],"genre_scores_gemma":[0.0001487913,0.00003057545,0.0001840078,0.00004524373,0.000003493463,0.00004086503,0.998948,0.0001409243,0.0004581084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8364168,"threshold_uncertainty_score":0.5472404,"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."}}