{"id":"W1994833883","doi":"10.1504/ijbt.2014.068928","title":"Benefits of genetically modified herbicide tolerant canola in Western Canada","year":2014,"lang":"en","type":"article","venue":"International Journal of Biotechnology","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Institute of Standards and Technology; University of Saskatchewan","keywords":"Canola; Tillage; Hectare; Weed control; Agronomy; Production (economics); Agricultural science; Biology; Toxicology; Agroforestry; Agriculture; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002387242,0.0002497597,0.00013123,0.0008943749,0.001711854,0.001027625,0.0005298511,0.0002508922,0.001628647],"category_scores_gemma":[0.0004746889,0.000117655,0.0001655233,0.001480199,0.0004715183,0.0002760708,0.0004438846,0.0004211618,0.0001111858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03223516,"about_ca_system_score_gemma":0.02474323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881971,"about_ca_topic_score_gemma":0.9970293,"domain_scores_codex":[0.9996791,0.00002428367,0.000007307027,0.00004112467,0.0001390999,0.0001091448],"domain_scores_gemma":[0.9995272,0.00002731382,0.00006100199,0.00001244379,0.0002261867,0.0001458436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00395558,0.001219998,0.4888866,0.0005367849,0.0004574887,0.005137201,0.00531255,0.006895059,0.2170064,0.01108998,0.01807769,0.2414246],"study_design_scores_gemma":[0.0000980918,0.000384046,0.930549,0.0000958399,0.0002302748,0.0004199597,0.006400438,0.002294292,0.01287005,0.000875404,0.04568947,0.00009305825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979381,0.001256375,0.0002190256,0.001034789,0.00001674231,0.00003475935,0.001362574,0.00004175548,0.01665289],"genre_scores_gemma":[0.9898356,0.001305111,0.0006440813,0.0003196648,0.000003091532,0.00001259782,0.0007882272,0.00001376368,0.007077996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03223516,"threshold_uncertainty_score":0.2338836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555024780546285,"score_gpt":0.2324693385195729,"score_spread":0.2169190907141101,"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."}}