{"id":"W6962805823","doi":"10.15468/dl.us7bgs","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); Range (aeronautics); State (computer science); The Internet","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":[0.0008625416,0.001936716,0.001559164,0.005147292,0.001134015,0.002697082,0.002816412,0.002143734,0.1625316],"category_scores_gemma":[0.005792135,0.0009459507,0.00136447,0.009660759,0.0004409284,0.002553266,0.002681362,0.00206129,0.2319455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547518,"about_ca_system_score_gemma":0.002360588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941637,"about_ca_topic_score_gemma":0.03312999,"domain_scores_codex":[0.9989645,0.0001338936,0.0001337522,0.0003791889,0.0002162414,0.0001723286],"domain_scores_gemma":[0.9976968,0.000638058,0.0001956039,0.0006331372,0.000579742,0.000256669],"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":[0.00002938838,0.0000120982,0.0004346811,0.0006106813,0.00001499301,0.00001754218,0.0000256075,0.0001169285,0.0001236238,0.0003740574,0.9965468,0.001693634],"study_design_scores_gemma":[0.00006580025,0.00000846494,0.001845148,0.0002005148,0.00001452915,0.00004661968,0.00007811371,0.0001747194,0.0001924065,0.0007466655,0.99661,0.00001703253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005871186,0.00004069358,0.00005851756,0.00004568967,0.00001649026,0.000006877535,0.9983846,0.0005555585,0.0008328424],"genre_scores_gemma":[0.0001876179,0.00004258094,0.0002308757,0.00005521099,0.000004362721,0.00004448953,0.9987099,0.0001745314,0.000550442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374684,"threshold_uncertainty_score":0.5437222,"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."}}