{"id":"W4360918291","doi":"10.3844/ojbsci.2023.109.116","title":"Performance Indicators of the Improved Technology of Soilless Growth the Tomato in the PreAral Sea Region","year":2023,"lang":"en","type":"article","venue":"OnLine Journal of Biological Sciences","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydroponics; Greenhouse; Husk; Horticulture; Yield (engineering); Sawdust; Productivity; Mathematics; Agronomy; Environmental science; Biology; Botany","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":[],"consensus_categories":[],"category_scores_codex":[0.001473751,0.00009716411,0.0002099734,0.00003708636,0.0002653044,0.00001790382,0.001409847,0.00009349787,0.000007180603],"category_scores_gemma":[0.0002828968,0.00001700496,0.0001198589,0.002655468,0.001064342,0.0001107819,0.0002025577,0.0002641158,6.430102e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000112749,"about_ca_system_score_gemma":0.00002364118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004955428,"about_ca_topic_score_gemma":0.00007115774,"domain_scores_codex":[0.9986629,0.0001956627,0.0004279305,0.0001500402,0.0003360642,0.0002273653],"domain_scores_gemma":[0.999018,0.0002512165,0.0005503204,0.00006359416,0.0000935592,0.00002334751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006866698,0.0003490877,0.6804652,0.00001629471,0.00001881672,0.000003802556,0.0002752202,0.00007669472,0.2238329,0.0008437522,0.000373643,0.09367581],"study_design_scores_gemma":[0.00008690315,0.001280534,0.9822704,0.00004439935,0.000006939571,0.00004069179,0.00378603,0.0001039175,0.0109526,0.0009726235,0.0003908825,0.0000641313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975719,0.0001197324,4.536464e-7,0.02379682,0.0001003327,0.0001804381,0.00000755024,0.000007937682,0.00006771739],"genre_scores_gemma":[0.9993787,0.0003427863,0.00001994934,0.0001130515,0.0001238451,0.000003370461,0.000001308487,2.591057e-7,0.00001666669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3018051,"threshold_uncertainty_score":0.3921611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975512886345407,"score_gpt":0.2408358204104686,"score_spread":0.2110806915470145,"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."}}