{"id":"W7097471683","doi":"","title":"FROM CANADIAN AGRICULTURE NARROWING THE KNOWLEDGE GAPS","year":2005,"lang":"en","type":"article","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Government (linguistics); Agricultural productivity; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001385853,0.00009115355,0.00007242892,0.000003827745,0.0003899259,0.00007540052,0.000257005,0.00006664481,0.002072044],"category_scores_gemma":[0.00002646651,0.000019579,0.0000550418,0.0002161956,0.00002895689,0.0001138164,0.00003480611,0.00009267468,0.0002813602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000943863,"about_ca_system_score_gemma":0.00002525104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.134566,"about_ca_topic_score_gemma":0.7835728,"domain_scores_codex":[0.9993295,0.00004388035,0.0001072588,0.0001681935,0.00008161526,0.0002695685],"domain_scores_gemma":[0.9996626,0.00008671184,0.00001424037,0.00003932417,0.00005604114,0.0001410821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007828954,0.00007741364,0.04225333,0.000002869889,0.00003204029,0.000006145077,0.003172873,0.000005458925,0.03749284,0.002373512,0.4150102,0.4995655],"study_design_scores_gemma":[0.00002278775,0.000006928249,0.3064915,0.000002108818,0.000002046905,6.250103e-7,0.001766052,0.00001185091,0.0007839722,0.000532808,0.6902914,0.00008796378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132328,0.0003257923,1.529581e-7,0.04093172,0.00008409403,0.0001207961,0.000008205615,0.00004696637,0.04524947],"genre_scores_gemma":[0.9864703,0.000009357267,0.00004662221,0.000885498,0.0006580867,0.000007817094,0.0000454505,2.53701e-7,0.01187664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6490068,"threshold_uncertainty_score":0.9988402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009422252480990625,"score_gpt":0.2002665372849494,"score_spread":0.1908442848039587,"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."}}