{"id":"W7135509494","doi":"","title":"Druhová diverzita plevelů vybraných polních plodin","year":2018,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weed; Crop; Spring (device); Bachelor; Weed control","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":[0.0003024043,0.0002755866,0.0003757463,0.001074367,0.0008676081,0.002193536,0.0003033564,0.0002982651,0.04600827],"category_scores_gemma":[0.0007152798,0.0001538414,0.0002622416,0.001066825,0.0004377807,0.0009644461,0.001073175,0.0009629641,0.009602688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008605558,"about_ca_system_score_gemma":0.001433648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008481797,"about_ca_topic_score_gemma":0.001868792,"domain_scores_codex":[0.9997525,0.0000266777,0.00001522357,0.0000769663,0.00008396396,0.00004456125],"domain_scores_gemma":[0.999701,0.00004618751,0.0000270678,0.00002470267,0.0001042425,0.0000968219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004858865,0.0003683981,0.01183739,0.001484327,0.00003920657,0.0009591047,0.004242831,0.00169368,0.02351963,0.04082688,0.07929552,0.8352472],"study_design_scores_gemma":[0.00004395279,0.0004955395,0.04358885,0.0008620417,0.00004762597,0.001849291,0.00334688,0.001067121,0.01353488,0.01220386,0.9229307,0.00002936214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3064575,0.06235892,0.02357905,0.009480972,0.003463437,0.000415895,0.002852351,0.001038411,0.5903534],"genre_scores_gemma":[0.5087155,0.03437988,0.01110822,0.0007791069,0.0008374418,0.0001911092,0.001747166,0.0007050635,0.4415365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04600827,"threshold_uncertainty_score":0.153913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144041199756931,"score_gpt":0.2344067503251352,"score_spread":0.2229663383275658,"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."}}