{"id":"W4395963525","doi":"10.15468/dl.ejsh7h","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":[0.001008944,0.002179071,0.001682029,0.004889787,0.001070906,0.00278199,0.00302469,0.002153342,0.1468898],"category_scores_gemma":[0.005454956,0.0009583776,0.001254085,0.009811308,0.0004580823,0.002301802,0.00251667,0.002196689,0.2223768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179063,"about_ca_system_score_gemma":0.00251774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323118,"about_ca_topic_score_gemma":0.03934814,"domain_scores_codex":[0.9989108,0.000142974,0.0001304859,0.0003827251,0.0002589754,0.0001739934],"domain_scores_gemma":[0.9976527,0.0006398914,0.0002183025,0.0006232861,0.0005772673,0.0002884827],"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":[0.00003229985,0.0000131568,0.0003736202,0.0004952766,0.00001512117,0.00001444554,0.00002130821,0.0001290056,0.000122547,0.0003874387,0.9970702,0.001325632],"study_design_scores_gemma":[0.00007366244,0.000007896427,0.00178014,0.0001593792,0.00001339187,0.00003364571,0.00006145806,0.0001572786,0.0002034785,0.0007162233,0.9967765,0.00001695314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003955542,0.00002623185,0.00004000128,0.00003210508,0.00001047979,0.000004702941,0.9989003,0.0003650558,0.0005815333],"genre_scores_gemma":[0.0001315571,0.00003023617,0.0001694974,0.000035925,0.000002821622,0.00003193908,0.9990655,0.0001323842,0.0004003037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8531103,"threshold_uncertainty_score":0.4913952,"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."}}