{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003093778,0.0004089082,0.000382727,0.0007658241,0.000633997,0.0005614795,0.000421171,0.0003051461,0.001156423],"category_scores_gemma":[0.0002717152,0.0002476908,0.0003443136,0.0004828856,0.0003116956,0.0005316113,0.0006551573,0.0005341733,0.000311791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008747435,"about_ca_system_score_gemma":0.0002846186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009925232,"about_ca_topic_score_gemma":0.01151739,"domain_scores_codex":[0.999729,0.00004496746,0.0000148789,0.0001093703,0.00004933438,0.00005238202],"domain_scores_gemma":[0.9996576,0.00007200036,0.000106345,0.00001781967,0.00003556646,0.0001107086],"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":[0.0009609071,0.0002949052,0.05105443,0.000134058,0.0000704237,0.0004799424,0.0006817729,0.0005509412,0.9345958,0.0002458111,0.000153806,0.01077722],"study_design_scores_gemma":[0.000049477,0.001140153,0.9717979,0.00002182533,0.0000670986,0.0005188695,0.0007096976,0.00191702,0.02130873,0.0001974998,0.00223737,0.00003446884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988723,0.0001522915,0.0001283193,0.00001121596,0.000002134535,0.000005731138,0.0001118081,0.000009550662,0.0007066203],"genre_scores_gemma":[0.9979798,0.0001028008,0.0003242292,0.00002379596,0.000002931499,0.00001533654,0.0003568851,0.000009600382,0.00118462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009925232,"threshold_uncertainty_score":0.01973498,"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."}}