{"id":"W7056039299","doi":"","title":"Efficacy of PC Turf herbicide product at different application rates and volumes – 2009 trial","year":2021,"lang":"en","type":"other","venue":"The Atrium (University of Guelph)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weed; Weed control; Phytotoxicity; Canopy; Product (mathematics); Reduction (mathematics); Weed science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694586,0.0004469523,0.0006568609,0.000447846,0.0002780296,0.0004108415,0.0005345084,0.0005180175,0.002974518],"category_scores_gemma":[0.0004810656,0.0001621741,0.0003417712,0.0002968003,0.0002049813,0.0002149207,0.0001573855,0.0006463117,0.0003499385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005674936,"about_ca_system_score_gemma":0.0005372838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004369523,"about_ca_topic_score_gemma":0.007104325,"domain_scores_codex":[0.9996036,0.0001008374,0.00003566521,0.00009967438,0.0001157122,0.00004460023],"domain_scores_gemma":[0.9995608,0.00008598592,0.0001133074,0.00003784674,0.0001165438,0.000085487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05272937,0.01673727,0.005703258,0.001069315,0.0003322561,0.0002030484,0.0001576969,0.00228014,0.7837299,0.0002821288,0.001570943,0.1352047],"study_design_scores_gemma":[0.003318651,0.4115424,0.04602481,0.00006723471,0.000416727,0.0002890037,0.0001145466,0.001679615,0.5239317,0.00007013629,0.01249145,0.00005368005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954508,0.0008061485,0.0004250568,0.00004644819,0.00003252706,0.000570282,0.0006723083,0.0000477407,0.001948772],"genre_scores_gemma":[0.987686,0.00111567,0.001887551,0.00007731702,0.00003149514,0.0004077903,0.0007867106,0.00002801923,0.007979457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004369523,"threshold_uncertainty_score":0.009950757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271394084255258,"score_gpt":0.2061845566228164,"score_spread":0.1934706157802638,"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."}}