{"id":"W2801217893","doi":"10.5539/jas.v10n6p334","title":"Physiology of Weeds in Intraspecific Competition","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intraspecific competition; Biology; Competition (biology); Agronomy; Interspecific competition; Stomatal conductance; Weed; Transpiration; Randomized block design; Biomass (ecology); Shoot; Greenhouse; Photosynthesis; Botany; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003917945,0.00006547604,0.0001698519,0.00003242158,0.0001113413,0.00002321443,0.0004313428,0.00003574281,0.0001792213],"category_scores_gemma":[0.00004477335,0.00001941223,0.00006164012,0.001075243,0.0004343412,0.0002923833,0.00003914419,0.0001026939,0.00001385382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004016887,"about_ca_system_score_gemma":0.00001903351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000277189,"about_ca_topic_score_gemma":0.0005483046,"domain_scores_codex":[0.9990662,0.00002815678,0.0003461165,0.000117734,0.0002583227,0.0001834747],"domain_scores_gemma":[0.9990535,0.00007362167,0.0002955676,0.0000311255,0.0004739015,0.00007228533],"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":[0.00001168845,0.00005071192,0.0004989566,8.812163e-7,0.000001770883,2.864178e-7,0.0001082486,0.000004739676,0.9916028,0.002237581,0.00009045191,0.005391855],"study_design_scores_gemma":[0.0001040427,0.0003639871,0.9703285,0.00001895028,0.000004020975,0.00002494085,0.0004870727,0.000007086521,0.02674658,0.0009768059,0.0008841369,0.00005389665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970734,0.0000656566,0.000002991403,0.001590181,0.0001235011,0.00006088997,0.000002289742,0.000004601511,0.001076463],"genre_scores_gemma":[0.9992932,0.00001297824,0.0001466022,0.00005624481,0.0004620654,0.000001274022,0.000001202993,1.730169e-7,0.00002625244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9698295,"threshold_uncertainty_score":0.1962348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302023330932204,"score_gpt":0.2252774443333252,"score_spread":0.2122572110240032,"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."}}