{"id":"W6943603322","doi":"10.15468/dl.x4tpwj","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; Alien; Range (aeronautics); State (computer science)","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":[0.0009039057,0.002032329,0.001482905,0.004987651,0.0009862995,0.002459891,0.002620072,0.001897988,0.1658405],"category_scores_gemma":[0.00579094,0.0009049178,0.001172386,0.01032311,0.0004527783,0.00218452,0.002575837,0.001815005,0.226771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452362,"about_ca_system_score_gemma":0.002323977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064777,"about_ca_topic_score_gemma":0.03421602,"domain_scores_codex":[0.9990082,0.0001341922,0.0001257208,0.0003563247,0.0002048946,0.0001706286],"domain_scores_gemma":[0.9976547,0.000664253,0.0002233033,0.000602943,0.0005810259,0.0002738109],"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":[0.0000314376,0.00001120258,0.000380127,0.0005213504,0.00001335564,0.0000142398,0.00002246112,0.0001220433,0.0001228645,0.0003697713,0.9969398,0.001451311],"study_design_scores_gemma":[0.00007197735,0.000009940848,0.0018176,0.0001788994,0.00001382011,0.00003536356,0.00006986618,0.0001362098,0.0001855265,0.0007614053,0.9967018,0.00001749338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004656587,0.00002638168,0.00004033274,0.00003270549,0.00001256284,0.000004901056,0.9988098,0.0003582232,0.0006684531],"genre_scores_gemma":[0.0001588548,0.00003356212,0.0001874103,0.00004444177,0.000003562335,0.00003940415,0.9988918,0.000147443,0.0004936113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8341596,"threshold_uncertainty_score":0.5547916,"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."}}