{"id":"W3138983434","doi":"","title":"Winter Canola Variety Trial","year":2010,"lang":"en","type":"article","venue":"ScholarWorks -A service of University of Vermont Libraries (University of Vermont)","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Variety (cybernetics); Computer science; Biology; Agronomy; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004823798,0.0004049054,0.001035814,0.0005859496,0.0004713819,0.00003837253,0.002522771,0.001154035,0.0009704821],"category_scores_gemma":[0.0001538206,0.0005600922,0.0004939747,0.001222665,0.00136933,0.002049631,0.001233979,0.001563518,0.00002786389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008934834,"about_ca_system_score_gemma":0.0002570684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956595,"about_ca_topic_score_gemma":0.004533476,"domain_scores_codex":[0.9975436,0.0002796799,0.0004237008,0.0006830755,0.000509071,0.0005609006],"domain_scores_gemma":[0.9967546,0.0002616548,0.0009289305,0.001292567,0.0005229313,0.000239253],"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":[0.1962961,0.002467289,0.006567457,0.001143354,0.001502222,0.000222011,0.01854459,0.0001084404,0.7201304,0.01779866,0.01214226,0.02307722],"study_design_scores_gemma":[0.1766213,0.007833199,0.1055945,0.001635254,0.004355929,0.0001231181,0.06034103,0.00136523,0.2284288,0.007244261,0.4019102,0.004547254],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894713,0.0003503594,0.0005487867,0.002803486,0.001599916,0.0006385656,0.0002037665,0.0001996047,0.004184275],"genre_scores_gemma":[0.9823145,0.00008279325,0.01678837,0.0001715701,0.0000863996,5.899496e-8,0.00006054951,0.00004069104,0.0004550144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4917016,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008694911045613814,"score_gpt":0.1864867600831185,"score_spread":0.1777918490375047,"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."}}