{"id":"W2079038659","doi":"10.5539/mas.v2n3p81","title":"Market Research on the Ephedra Resource in Xinjiang and its Development Trend","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Food Quality and Safety Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences; Chinese Academy of Sciences","keywords":"Status quo; Resource (disambiguation); Business; Market development; Political science; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002597316,0.0000896525,0.0001019174,0.00003245387,0.001629935,0.00004666063,0.0004290857,0.00003513646,0.00003809437],"category_scores_gemma":[0.00008146654,0.00002947976,0.00001260131,0.0009035187,0.000644206,0.00004536148,0.0002599546,0.0001962543,0.00002415686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000434516,"about_ca_system_score_gemma":0.00002671309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000188054,"about_ca_topic_score_gemma":0.0003695109,"domain_scores_codex":[0.9983101,0.00008743058,0.0001462985,0.0003977469,0.0006365749,0.0004217784],"domain_scores_gemma":[0.9992961,0.0005150377,0.00002452273,0.00006569746,0.0000270265,0.00007161383],"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":[0.00041163,0.0004037197,0.002537581,0.00002335525,0.00001325236,0.0000289397,0.02958916,0.00005179026,0.6632719,0.03158831,0.004767196,0.2673132],"study_design_scores_gemma":[0.0002841819,0.0002054104,0.8814327,0.00005925807,0.000001435061,0.00001210338,0.007532258,0.003882598,0.01548044,0.003835028,0.08682441,0.00045016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484776,0.0001798602,0.000001821981,0.004678358,0.00001088101,0.0001816575,0.000002434974,0.00001444666,0.04645293],"genre_scores_gemma":[0.998724,0.00004941659,0.00003400683,0.0003348411,0.00002801053,0.00003681177,6.192301e-7,4.751719e-7,0.0007918268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8788951,"threshold_uncertainty_score":0.9996698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2006663280538833,"score_gpt":0.3078061480872252,"score_spread":0.1071398200333419,"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."}}