{"id":"W4395315561","doi":"10.15468/dl.57qyb4","title":"Occurrence Download","year":2020,"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":[0.000852444,0.002297462,0.001583104,0.004622556,0.0009851449,0.002520229,0.003261234,0.002354536,0.1185896],"category_scores_gemma":[0.005082655,0.0008902713,0.001283136,0.009296797,0.0004467939,0.002321345,0.002156249,0.002217716,0.1790176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810381,"about_ca_system_score_gemma":0.002332184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999225,"about_ca_topic_score_gemma":0.03235771,"domain_scores_codex":[0.9990394,0.0001367892,0.0001214841,0.0003323794,0.0002219446,0.000147958],"domain_scores_gemma":[0.9980129,0.0005409707,0.0001812515,0.0005299748,0.0004990987,0.0002358207],"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":[0.0000358312,0.00001612422,0.0003757132,0.0005102504,0.00001535961,0.00001607595,0.00001675311,0.0001734157,0.0001122565,0.0003340212,0.9968948,0.001499341],"study_design_scores_gemma":[0.0000970212,0.00001162617,0.001930662,0.0001853123,0.00001598155,0.00004783968,0.00006534046,0.0003108945,0.000248455,0.0008301699,0.9962378,0.00001882243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005703936,0.0000372996,0.00004137479,0.00004403257,0.00001319717,0.000006195843,0.9988225,0.0003927149,0.000585717],"genre_scores_gemma":[0.0001568617,0.00003594892,0.0001738062,0.00004262873,0.000003049103,0.0000362289,0.9990568,0.00008915553,0.0004055978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8814104,"threshold_uncertainty_score":0.3967217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075222295569681,"score_gpt":0.2365309834576628,"score_spread":0.215778760501966,"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."}}