{"id":"W6962131666","doi":"10.15468/dl.nnh2cf","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); Data set; 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":[0.0007942005,0.001685125,0.001340036,0.004557781,0.0009213089,0.002365817,0.002381949,0.001724692,0.1537251],"category_scores_gemma":[0.005489855,0.0007777972,0.001070655,0.01027763,0.0003911997,0.002166414,0.00220936,0.001772251,0.2251054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533659,"about_ca_system_score_gemma":0.002212858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496998,"about_ca_topic_score_gemma":0.04122158,"domain_scores_codex":[0.9990878,0.0001200413,0.0001161399,0.0003063255,0.0002209283,0.0001487241],"domain_scores_gemma":[0.9978055,0.0006000737,0.0001977353,0.0005365912,0.0006194666,0.0002406047],"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":[0.00002572114,0.000009265113,0.0003825891,0.0004349893,0.00001195714,0.00001356014,0.00002073393,0.000124306,0.0000945476,0.0003350939,0.996854,0.001693256],"study_design_scores_gemma":[0.00005319008,0.000006693271,0.001802245,0.0001667387,0.00001114373,0.00003378456,0.00007325621,0.000160882,0.0001648472,0.000762475,0.9967494,0.00001517537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004455735,0.00002860528,0.00005363756,0.00003770881,0.00001270136,0.000004933683,0.9986149,0.0004248243,0.0007781199],"genre_scores_gemma":[0.0001933565,0.00003952629,0.0002439539,0.00004650421,0.000004133151,0.00003951797,0.9986913,0.0001624766,0.0005793247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8462749,"threshold_uncertainty_score":0.5142617,"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."}}