{"id":"W6894403516","doi":"10.5683/sp3/x0b8v1","title":"Replication Data for: Tolerance of white beans to postemergence broadleaf herbicides","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"White (mutation); Cultivar; Replication (statistics); Production (economics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002143966,0.001786372,0.001695932,0.002147235,0.001415892,0.001723779,0.003294358,0.002027038,0.05296807],"category_scores_gemma":[0.01177325,0.0007621344,0.001538567,0.004765508,0.0005176401,0.0007492897,0.001411531,0.001285537,0.04140735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002921967,"about_ca_system_score_gemma":0.005721638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.241987,"about_ca_topic_score_gemma":0.3866357,"domain_scores_codex":[0.9981859,0.0002536035,0.0002254814,0.0006180988,0.0004370091,0.0002798437],"domain_scores_gemma":[0.9933764,0.001359333,0.0009174012,0.001467189,0.00241899,0.0004607423],"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":[0.0004765306,0.0000530636,0.005953501,0.002543575,0.0002276702,0.00005232719,0.00007423291,0.0004765643,0.0005573131,0.0003940065,0.9860315,0.003159671],"study_design_scores_gemma":[0.001528259,0.00007427252,0.04115678,0.0005841664,0.0003248741,0.00007819571,0.0001462769,0.0005193405,0.00075797,0.0007700212,0.9539858,0.00007407743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003066357,0.00006361681,0.00003392722,0.00003759127,0.00001189731,0.00001388073,0.9990689,0.00007891806,0.0003846318],"genre_scores_gemma":[0.001119501,0.0000430699,0.0002152429,0.00003333406,0.000004725327,0.0001095152,0.9975002,0.0000399015,0.0009344726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.241987,"threshold_uncertainty_score":0.4811569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06060435731105328,"score_gpt":0.343378062650522,"score_spread":0.2827737053394687,"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."}}