{"id":"W4230413255","doi":"10.6000/1927-3037.2015.04.03.1","title":"http://www.lifescienceglobal.com/journals/international-journal-of-biotechnology-for-wellness-industries/volume-4-number-3/86-abstract/ijbwi/1860-abstract-the-anti-microbial-properties-of-triticum-aestivum-wheat-grass-extract","year":2015,"lang":"en","type":"article","venue":"International Journal of Biotechnology for Wellness Industries","topic":"Food Science and Nutritional Studies","field":"Nursing","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central Food Technological Research Institute, Council of Scientific and Industrial Research","keywords":"Volume (thermodynamics); Biotechnology; Biology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001661034,0.0005429123,0.000285257,0.001024232,0.0002635932,0.0007674405,0.0001566667,0.0004008799,0.1018719],"category_scores_gemma":[0.000133684,0.0001103361,0.0002085867,0.001053208,0.0001458014,0.0005607182,0.0003611523,0.0006486449,0.04094393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464084,"about_ca_system_score_gemma":0.0004492148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003391039,"about_ca_topic_score_gemma":0.0006786512,"domain_scores_codex":[0.9999115,0.00001140983,0.000009048133,0.00001161556,0.0000466671,0.000009692725],"domain_scores_gemma":[0.9999187,0.000009756974,0.0000145703,0.000008152544,0.00002238161,0.00002644522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003309946,0.0007911928,0.004465714,0.00265852,0.00004463423,0.0006450366,0.0002186285,0.000228523,0.200779,0.002800833,0.04668762,0.7403494],"study_design_scores_gemma":[0.00005451041,0.0006148109,0.02705419,0.0006142703,0.0000843699,0.002009478,0.0004516422,0.0006011837,0.07423878,0.002514566,0.8917276,0.00003461359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.247705,0.1001182,0.0212094,0.008585208,0.002811575,0.0005503508,0.01076915,0.00357524,0.6046758],"genre_scores_gemma":[0.4386881,0.08990147,0.04286513,0.003791918,0.0009769939,0.0004096323,0.0152595,0.000692238,0.4074151],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8981282,"threshold_uncertainty_score":0.3407954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06306172971947191,"score_gpt":0.320879402070472,"score_spread":0.2578176723510001,"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."}}