{"id":"W2587804526","doi":"","title":"Underdrainage Extension Work in Ontario1","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Extension (predicate logic); Work (physics); Computer science; Programming language; Engineering; Mechanical engineering","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":[0.00076733,0.0002926122,0.0003156604,0.001073341,0.009050045,0.001282138,0.000991325,0.000647734,0.01390372],"category_scores_gemma":[0.00139128,0.0003961856,0.0002484884,0.002094043,0.001204438,0.0005519047,0.001943764,0.0007939246,0.001898638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02563182,"about_ca_system_score_gemma":0.0768652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9544625,"about_ca_topic_score_gemma":0.9931294,"domain_scores_codex":[0.998477,0.0002427971,0.00003496177,0.000170672,0.0002759916,0.0007984886],"domain_scores_gemma":[0.9955864,0.0002661257,0.0002916882,0.0001856406,0.001139294,0.00253081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00132522,0.001274217,0.6455449,0.0005744899,0.00005110172,0.005957074,0.09158698,0.0005698453,0.0201781,0.003964909,0.05538712,0.1735861],"study_design_scores_gemma":[0.00004309771,0.0003030744,0.8461242,0.0001045767,0.00001315591,0.0002385286,0.03879086,0.0002091688,0.0005601385,0.0002376261,0.1133502,0.00002533334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462517,0.0006259526,0.0003656835,0.002756738,0.0001128069,0.0003589609,0.002332748,0.00008180866,0.04711354],"genre_scores_gemma":[0.7901425,0.0009741987,0.001483484,0.001348348,0.00005008417,0.0002462752,0.001998735,0.000058869,0.2036976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04553747,"threshold_uncertainty_score":0.1859727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600330708622797,"score_gpt":0.1820303992924432,"score_spread":0.1660270922062153,"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."}}