{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001541392,0.0002355943,0.0002704547,0.0002749232,0.0003230944,0.0002581863,0.0001363994,0.0002304924,0.001052207],"category_scores_gemma":[0.0001828651,0.0001315421,0.0001354368,0.0001457957,0.0001859052,0.0002595784,0.0002953756,0.0002692126,0.0002397436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501946,"about_ca_system_score_gemma":0.0001877926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136753,"about_ca_topic_score_gemma":0.00238007,"domain_scores_codex":[0.9998837,0.00002666148,0.000006080557,0.00002644298,0.00002663909,0.00003052111],"domain_scores_gemma":[0.9998407,0.00001938368,0.00003237746,0.000009911627,0.00002708447,0.00007048772],"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":[0.0002255734,0.00003543937,0.005579204,0.00003657522,0.000009341175,0.0001040051,0.0001280939,0.00007315744,0.9908177,0.00006741585,0.0000506814,0.002872799],"study_design_scores_gemma":[0.00005147285,0.001688186,0.926766,0.00001368755,0.00004474842,0.0007482741,0.0007728442,0.001922991,0.06475478,0.0004930358,0.002694433,0.00004952528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998678,0.0002108591,0.0002605665,0.00002289255,0.000004547564,0.000007406536,0.00003982639,0.00001709591,0.0007588746],"genre_scores_gemma":[0.9986306,0.0001150082,0.0002238133,0.00004141303,0.000003595849,0.00001466143,0.0001240074,0.000008165206,0.0008386246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002136753,"threshold_uncertainty_score":0.004248679,"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."}}