{"id":"W7132901299","doi":"","title":"MONITORING YIELD AND CALCULATING THE EXPLOITABLE RESERVE OF CANADIAN GOLDENROD IN A DISTURBED PHYTOCENOSIS IN THE SUBURBS OF KALUGA","year":2025,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Ecosystem; Crop yield; Greenhouse; Productivity","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":[0.0002021807,0.0003032861,0.0003570205,0.001556361,0.001716395,0.0009013033,0.0005217422,0.0002311838,0.001044243],"category_scores_gemma":[0.000323031,0.0001936161,0.0004453054,0.00188852,0.0003417768,0.0003301458,0.0004598748,0.0002469636,0.0001965406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005237609,"about_ca_system_score_gemma":0.00446536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8273615,"about_ca_topic_score_gemma":0.9415147,"domain_scores_codex":[0.9997796,0.000008798995,0.000008704706,0.00006069986,0.00009506539,0.00004711131],"domain_scores_gemma":[0.999817,0.00001327166,0.00002773337,0.000008687365,0.00009653273,0.0000368071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004389254,0.00007461671,0.8611895,0.000289985,0.0001916099,0.0006410808,0.002341364,0.007763411,0.05757247,0.001019189,0.0009935686,0.0674842],"study_design_scores_gemma":[0.000006498716,0.00003611257,0.9868643,0.00001864135,0.00004954315,0.00007018058,0.001368739,0.006007473,0.002503257,0.0001110342,0.002940016,0.00002416261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920008,0.0003762509,0.001154408,0.00004454753,0.000006071196,0.00004245541,0.001456681,0.0000475061,0.004871326],"genre_scores_gemma":[0.9924818,0.0002444998,0.003675796,0.000009086991,0.000002132785,0.00002682312,0.001159626,0.00001499242,0.002385234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1726385,"threshold_uncertainty_score":0.3473104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101861790902746,"score_gpt":0.3244235400467181,"score_spread":0.2225617491439722,"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."}}