{"id":"W4395890869","doi":"10.15468/dl.cfegj4","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":[0.000998411,0.002231741,0.001664287,0.004734769,0.00111663,0.002912506,0.003102368,0.002212163,0.1530795],"category_scores_gemma":[0.005545306,0.0009507834,0.001226291,0.009534209,0.0004548253,0.002456588,0.0024545,0.002203526,0.2353278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178302,"about_ca_system_score_gemma":0.002543122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02420621,"about_ca_topic_score_gemma":0.04068171,"domain_scores_codex":[0.9989177,0.0001401589,0.0001243391,0.000389016,0.000264485,0.0001643781],"domain_scores_gemma":[0.9977323,0.0006218019,0.0001996032,0.0005947889,0.0005806921,0.000270815],"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":[0.00002862411,0.00001171941,0.0003278544,0.0004151702,0.00001321824,0.00001402477,0.00001894826,0.0001182445,0.000104033,0.0003776382,0.9973569,0.001213619],"study_design_scores_gemma":[0.00006594613,0.000007008567,0.001472566,0.0001416447,0.00001229717,0.00003163101,0.00005564046,0.0001606672,0.0001982563,0.0007744228,0.9970637,0.0000163372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003925856,0.00002576637,0.00004385975,0.00003484028,0.000010943,0.000004752849,0.9987772,0.0004065403,0.0006569013],"genre_scores_gemma":[0.0001353958,0.00003073778,0.0001778828,0.00003852246,0.000003031703,0.00003289541,0.9989673,0.0001486553,0.0004655317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469205,"threshold_uncertainty_score":0.512102,"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."}}