{"id":"W7098946903","doi":"","title":"Direct Correspondence to:","year":2014,"lang":"en","type":"article","venue":"","topic":"Plant chemical constituents analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Immigration; Farm workers; Agriculture; Ethnic group; Occupational safety and health","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009754726,0.00004455465,0.00007160912,0.000003989222,0.00004344382,0.00002273732,0.0001509328,0.00002071406,0.002556252],"category_scores_gemma":[0.0001540102,0.00001215631,0.00003308913,0.0002103731,0.00001219168,0.00002817664,0.00003796584,0.00002254477,0.0008804653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004821673,"about_ca_system_score_gemma":7.815455e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001537311,"about_ca_topic_score_gemma":0.0003436299,"domain_scores_codex":[0.999574,0.00001819398,0.00006059339,0.0001373272,0.00009771007,0.0001121493],"domain_scores_gemma":[0.9996599,0.0001923449,0.00001085265,0.00002600617,0.00001748642,0.00009342371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004849544,0.000008977303,0.003392826,2.025354e-7,0.000002301633,4.526439e-7,0.000001951884,0.000002283982,0.959276,0.0004826582,0.006268929,0.03055856],"study_design_scores_gemma":[0.00003715949,0.00004038993,0.03321305,0.000007884416,0.00001050731,0.000002853426,0.00001537335,0.0002439878,0.1266288,0.0001078924,0.8394798,0.0002123094],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806419,0.000003211305,0.00005099282,0.000928648,0.00003210251,0.00002717506,0.000005367882,0.00006028614,0.1182503],"genre_scores_gemma":[0.994176,9.262839e-7,0.0001264032,0.001327087,0.0000591566,0.000002236709,0.000007306108,8.888934e-8,0.004300852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8332109,"threshold_uncertainty_score":0.9998975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024647402285797,"score_gpt":0.1970741143605452,"score_spread":0.1868276403376872,"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."}}