{"id":"W4396395522","doi":"10.15468/dl.hvrmnd","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Wood and Agarwood Research","field":"Chemistry","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":[0.0008530245,0.002275106,0.001655162,0.004971365,0.0009579819,0.002653391,0.002870501,0.00203346,0.14136],"category_scores_gemma":[0.004998073,0.0009401602,0.00122093,0.0102425,0.0004288978,0.002308905,0.002344076,0.001968192,0.2149114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651182,"about_ca_system_score_gemma":0.002380405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02181003,"about_ca_topic_score_gemma":0.03756588,"domain_scores_codex":[0.9989786,0.0001303055,0.0001268697,0.000370171,0.0002295671,0.0001644744],"domain_scores_gemma":[0.997877,0.0005468774,0.0002112229,0.0005396642,0.000564046,0.0002611593],"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":[0.00003699659,0.00001340094,0.000399962,0.0005679065,0.00001675718,0.00001516762,0.00001843144,0.0001370276,0.0001287964,0.0003984961,0.9968298,0.001437313],"study_design_scores_gemma":[0.00007716683,0.000008752369,0.001681546,0.0001586615,0.00001438273,0.00003264549,0.00004908826,0.000150566,0.0001997562,0.0007680945,0.9968414,0.00001791391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003774949,0.00002701256,0.00003342353,0.00002719484,0.00000940884,0.000004453632,0.9989537,0.0003222946,0.0005847099],"genre_scores_gemma":[0.0001365091,0.0000350421,0.0001654209,0.00004105672,0.000003090227,0.00003154891,0.999032,0.0001179022,0.0004373764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.85864,"threshold_uncertainty_score":0.4728962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833665708887546,"score_gpt":0.2376325787195619,"score_spread":0.2192959216306864,"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."}}