{"id":"W2592147008","doi":"10.2298/abs160212092v","title":"Velvetleaf (Abutilon theophrasti Medik.) productivity in competitive conditions","year":2016,"lang":"en","type":"article","venue":"Archives of Biological Sciences","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"FP7 Research Potential of Convergence Regions; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Abutilon; Weed; Biology; Monoculture; Agronomy; Competition (biology); Productivity; Interspecific competition; Population; Weed control; Intraspecific competition; Botany; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002973168,0.0000973458,0.0001842224,0.00002334799,0.0001731724,0.00001090775,0.0004045719,0.00004266268,0.0002900871],"category_scores_gemma":[0.0002221246,0.00002576135,0.00006998637,0.0003524336,0.001523098,0.00009556257,0.00009518992,0.00005777649,0.00002239712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005995106,"about_ca_system_score_gemma":0.00001183553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002968969,"about_ca_topic_score_gemma":0.0006557091,"domain_scores_codex":[0.9988868,0.0001359107,0.0002118437,0.0003623641,0.0001318907,0.0002711588],"domain_scores_gemma":[0.9980965,0.001674736,0.00009323734,0.00005069813,0.00001859205,0.00006625828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002027217,0.0001052843,0.04421765,7.69913e-7,0.000002713429,5.121144e-7,0.00003243137,5.706428e-7,0.7937618,0.08371004,0.00000826279,0.07813966],"study_design_scores_gemma":[0.0001153577,0.0003529038,0.8983158,0.00003001118,0.000001796015,0.000001761454,0.0001667,0.000009883835,0.008387495,0.09134542,0.001181678,0.00009116183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723056,0.00007220487,0.00002726809,0.00724696,0.00003072632,0.0002014013,0.00008439287,0.00003174434,0.01999973],"genre_scores_gemma":[0.9995011,0.00004303471,0.0001869412,0.00008609106,0.00007903613,0.00004081937,0.000007648929,2.685755e-7,0.00005503509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8540982,"threshold_uncertainty_score":0.5611917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310442982040564,"score_gpt":0.254441490805935,"score_spread":0.2233971926018786,"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."}}