{"id":"W4237817151","doi":"10.1111/wre.12290","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Weed Research","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003069825,0.001536302,0.001805171,0.004758751,0.002558346,0.01408806,0.002679339,0.003738353,0.7581009],"category_scores_gemma":[0.01356013,0.0006388732,0.001523496,0.00477021,0.000599557,0.007132861,0.003987687,0.002942341,0.6819199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134936,"about_ca_system_score_gemma":0.003649288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009261417,"about_ca_topic_score_gemma":0.001524417,"domain_scores_codex":[0.9974503,0.0002581417,0.0002900019,0.0004074481,0.001287323,0.0003068532],"domain_scores_gemma":[0.9897786,0.001036151,0.0005171155,0.0008299109,0.004723664,0.003114565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002012915,0.00002162199,0.00007409009,0.0002929197,0.000003572083,0.00003033769,0.0000213814,0.00001264863,0.0001174076,0.0012116,0.9621443,0.03605009],"study_design_scores_gemma":[0.000005883261,0.00001241935,0.0002061075,0.00009990994,0.000002120474,0.00003271373,0.00002924537,0.00001374963,0.00003973431,0.0004975585,0.9990558,0.000004601676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005615943,0.005236619,0.001910923,0.01830013,0.1404404,0.001118671,0.02648843,0.004282862,0.8016602],"genre_scores_gemma":[0.002658186,0.004347533,0.002073462,0.01047591,0.02333284,0.000465646,0.01900698,0.002060054,0.9355794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2418991,"threshold_uncertainty_score":0.3450397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05992973372876789,"score_gpt":0.3457193164797942,"score_spread":0.2857895827510263,"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."}}