{"id":"W7092458143","doi":"10.15468/dl.3vvz3e","title":"Occurrence Download","year":2025,"lang":"","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; Matching (statistics); Range (aeronautics); Order (exchange); 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":[0.001002682,0.001924322,0.00159695,0.004773605,0.001000652,0.00281918,0.002807867,0.001983247,0.1542497],"category_scores_gemma":[0.005907573,0.0008777873,0.00116487,0.00988474,0.0004304666,0.002325864,0.002411708,0.002044467,0.2336361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687155,"about_ca_system_score_gemma":0.002374605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102689,"about_ca_topic_score_gemma":0.03383507,"domain_scores_codex":[0.9989418,0.0001362933,0.0001244963,0.0003688392,0.0002587926,0.000169885],"domain_scores_gemma":[0.9976389,0.0006238829,0.0002221928,0.0006298588,0.0006055765,0.0002796298],"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":[0.00002985577,0.00001183492,0.0003864571,0.0004578322,0.00001331692,0.00001200425,0.00001860968,0.0001226748,0.0001051927,0.0003880026,0.9970593,0.001394885],"study_design_scores_gemma":[0.00006404321,0.000006932079,0.001613382,0.0001538434,0.00001167955,0.00002576194,0.0000550599,0.0001461088,0.0001812293,0.0007840709,0.9969434,0.00001446838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003697709,0.00002364066,0.00003680069,0.00003100106,0.000009483379,0.000004493897,0.9989035,0.0003366762,0.0006174238],"genre_scores_gemma":[0.0001495172,0.00003223743,0.0001725625,0.00004058419,0.000003218313,0.00003429383,0.9989754,0.0001357727,0.0004563399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8457503,"threshold_uncertainty_score":0.5160168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509698420045756,"score_gpt":0.2448005803171465,"score_spread":0.229703596116689,"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."}}