{"id":"W2990427650","doi":"10.1111/wre.12389","title":"Fungal‐based bioherbicides for weed control: a myth or a reality?","year":2019,"lang":"en","type":"article","venue":"Weed Research","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique; Association Nationale de la Recherche et de la Technologie","keywords":"Weed; Dozen; Cropping; Product (mathematics); Weed control; Business; Biotechnology; Biology; Ecology; Agriculture; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002269892,0.0001979926,0.0004099223,0.00004638719,0.0003529511,0.0001699845,0.000680755,0.0002584654,0.002219691],"category_scores_gemma":[0.001553189,0.00005908058,0.0002303803,0.0006242675,0.0003048625,0.0001003134,0.0001040044,0.0003928551,0.0004256828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007353064,"about_ca_system_score_gemma":0.00005886272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962705,"about_ca_topic_score_gemma":0.001608428,"domain_scores_codex":[0.9970537,0.0005208211,0.0003146005,0.0005824111,0.0006029148,0.0009255167],"domain_scores_gemma":[0.9942619,0.004660211,0.00008205739,0.0001621535,0.0006214913,0.0002122138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001963685,0.000125181,0.001388947,0.00002890253,0.00002937975,0.000008412328,0.000009000728,0.000004036865,0.9697002,0.001978797,0.006438065,0.01832535],"study_design_scores_gemma":[0.00489254,0.01192921,0.2559539,0.0001245758,0.00002581694,0.000007912507,0.001036115,0.001437646,0.02613271,0.004556745,0.6931656,0.0007372251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938917,0.0003638006,0.00003912541,0.04607762,0.0001977181,0.004818057,0.0003618333,0.0002116058,0.009013276],"genre_scores_gemma":[0.9910973,0.000005375065,0.0001598523,0.001553651,0.0004448642,0.0006029764,0.0000554606,0.000002619101,0.006077851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9435675,"threshold_uncertainty_score":0.9986924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.217268620945667,"score_gpt":0.3703111583391309,"score_spread":0.1530425373934639,"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."}}