{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003415478,0.0003212763,0.0002427466,0.0005936841,0.0002690112,0.0006052283,0.0002481667,0.0002087835,0.0005622735],"category_scores_gemma":[0.0003780633,0.00008101815,0.0002548608,0.0004861599,0.0001931133,0.0004281133,0.0003605031,0.0001721789,0.0002275483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005261091,"about_ca_system_score_gemma":0.0004416692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004571277,"about_ca_topic_score_gemma":0.007501096,"domain_scores_codex":[0.9997126,0.00004145663,0.00002089222,0.00007526977,0.00009536321,0.00005435503],"domain_scores_gemma":[0.9995969,0.00004383329,0.0001266462,0.00003360308,0.000141116,0.00005790808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005539989,0.0001932606,0.1115759,0.0002010339,0.00008218196,0.0006283596,0.0004385149,0.008468702,0.8472992,0.000290614,0.0001113789,0.03015665],"study_design_scores_gemma":[0.00001719707,0.002814663,0.8119382,0.00002235896,0.0001071724,0.0005370287,0.00123597,0.005833621,0.1742647,0.00008999497,0.003097997,0.00004096448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984072,0.00007601886,0.0005377146,0.000005233044,0.000001298038,0.0000103993,0.00006505934,0.00001138091,0.0008856487],"genre_scores_gemma":[0.9980912,0.0001143184,0.0009545925,0.000002848624,0.000001352617,0.00001375427,0.0002698739,0.000007426904,0.0005447391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004571277,"threshold_uncertainty_score":0.009089351,"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."}}