{"id":"W2739320990","doi":"","title":"Minor Element Deficiencies Affecting Canadian Crop Production1","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Crop; Element (criminal law); Agronomy; Geography; Agricultural engineering; Biology; Engineering; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.0005329855,0.0008652103,0.0004528493,0.001377683,0.003325006,0.001169125,0.001180645,0.0006735557,0.002656532],"category_scores_gemma":[0.001672664,0.0003172616,0.0003168665,0.002841265,0.001094766,0.0004096014,0.0005312298,0.0005615609,0.0003082246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02840529,"about_ca_system_score_gemma":0.02853196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.980619,"about_ca_topic_score_gemma":0.9905605,"domain_scores_codex":[0.9992815,0.00006946584,0.00002527384,0.0001280435,0.0003050269,0.0001907201],"domain_scores_gemma":[0.9979107,0.0002615778,0.000306002,0.00007602468,0.001108437,0.0003372737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007451789,0.0006042533,0.3174012,0.0006036557,0.000453373,0.003050543,0.002281239,0.003205689,0.5885069,0.002106685,0.00774991,0.06658474],"study_design_scores_gemma":[0.00006022904,0.0004073065,0.9396738,0.00002654891,0.0002151665,0.0006014438,0.001516924,0.00105799,0.04141523,0.0003410415,0.01462554,0.00005889969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851444,0.002733079,0.0004432709,0.0006616469,0.00002261188,0.00004583706,0.003184241,0.00007970678,0.007685225],"genre_scores_gemma":[0.9852362,0.002053652,0.00110607,0.0001976691,0.000006679177,0.00001306866,0.00195403,0.00004036138,0.00939233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02840529,"threshold_uncertainty_score":0.2060958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098001469964286,"score_gpt":0.1841562977113231,"score_spread":0.1731762830116802,"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."}}