{"id":"W4210512984","doi":"10.1126/science.abk2177","title":"Southeast Asian Dipterocarp origin and diversification driven by Africa-India floristic interchange","year":2022,"lang":"en","type":"article","venue":"Science","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Montreal Biodome","funders":"","keywords":"Dipterocarpaceae; Biological dispersal; Geography; Southeast asia; Tropical Asia; East Asia; Diversification (marketing strategy); Biogeography; Ecology; Biology; China; Ancient history; Archaeology; Population; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002304412,0.00005147525,0.00005021613,0.0000192543,0.001047285,0.00005354427,0.0003215565,0.00001420733,0.0001232675],"category_scores_gemma":[0.0000184159,0.00002515185,0.00001536543,0.0004280023,0.0001858479,0.0001956603,0.0002605009,0.00007507917,0.00002787257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006368352,"about_ca_system_score_gemma":0.000007241874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000738328,"about_ca_topic_score_gemma":0.00002311077,"domain_scores_codex":[0.9992267,0.00003226023,0.00005032616,0.0002386867,0.0002625364,0.0001894878],"domain_scores_gemma":[0.9998133,0.00002223286,0.00003379954,0.0000304436,0.00001772261,0.00008254544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000868521,0.0001860805,0.1640293,0.000009288527,0.000009379142,0.00001471631,0.006432609,0.000009714598,0.7727244,0.00199083,0.01061002,0.04389684],"study_design_scores_gemma":[0.0001529225,0.0003016095,0.9106125,0.000008953204,0.00001549631,0.00002177661,0.01449919,0.001157973,0.0004326957,0.0005094831,0.07199512,0.0002923285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972299,0.00004561844,0.00001105907,0.00072925,0.0002056178,0.00007026255,0.0002971739,0.00003200618,0.001379122],"genre_scores_gemma":[0.9996007,0.000008340193,0.00001818438,0.00004004902,0.0000312839,0.000004298899,0.00004629092,1.68627e-7,0.0002506925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7722917,"threshold_uncertainty_score":0.8054972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865356593840097,"score_gpt":0.1949177994418012,"score_spread":0.1662642335034002,"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."}}