{"id":"W6920517589","doi":"10.6084/m9.figshare.21203368.v1","title":"Additional file 1 of Traditional Khmer Medicine and its role in wildlife use in modern-day Cambodia","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Travel medicine; Government (linguistics); Quarter (Canadian coin)","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":[0.001213739,0.000444616,0.0006345913,0.001816545,0.001183118,0.000769252,0.001055085,0.0006843171,0.8774816],"category_scores_gemma":[0.01702191,0.0003305861,0.0002858691,0.004571119,0.0002377703,0.00178602,0.0009545829,0.0007909897,0.1142388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349412,"about_ca_system_score_gemma":0.002003428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0249826,"about_ca_topic_score_gemma":0.04119727,"domain_scores_codex":[0.9995847,0.0001348697,0.00006722115,0.00006702348,0.00007721952,0.00006890483],"domain_scores_gemma":[0.9888856,0.008169369,0.0006113976,0.000337448,0.001699497,0.0002966904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006051083,0.00003628377,0.001216744,0.001080312,0.000004475134,0.00003137824,0.0003347399,0.00007735085,0.00001817643,0.0006465522,0.990765,0.005728461],"study_design_scores_gemma":[0.001340626,0.0001746031,0.04495874,0.005152552,0.00004504773,0.0003062121,0.006810034,0.000760294,0.0002278048,0.006292749,0.9338579,0.00007349504],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00059513,0.00003313419,0.0001866548,0.0003759131,0.00003637508,0.0004077173,0.9931075,0.00005130525,0.005206334],"genre_scores_gemma":[0.02797034,0.0006861275,0.005346225,0.001598525,0.0002029006,0.01697395,0.8967258,0.0002677447,0.05022847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8774816,"threshold_uncertainty_score":0.1747576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0854957410251902,"score_gpt":0.2599017941713247,"score_spread":0.1744060531461345,"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."}}