{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003036302,0.0001365485,0.0001193744,0.00002105578,0.0002419054,0.0001766469,0.0003158547,0.00009976706,0.0009341146],"category_scores_gemma":[0.00004023436,0.00003180422,0.00007758093,0.001100749,0.00009286898,0.0002038043,0.0001181323,0.00008489582,0.0004260982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005082976,"about_ca_system_score_gemma":0.000004045057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258951,"about_ca_topic_score_gemma":0.008523778,"domain_scores_codex":[0.9986521,0.0000391704,0.000164493,0.0004989984,0.0002869889,0.0003582436],"domain_scores_gemma":[0.999639,0.00007959118,0.0000532138,0.00009381727,0.00005451963,0.00007983571],"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":[0.00005171885,0.0002038598,0.04925367,0.000005233935,0.000009837676,0.000041231,0.0002647006,0.000002473725,0.5534028,0.002422368,0.1985084,0.1958337],"study_design_scores_gemma":[0.000158126,0.00003530971,0.778631,0.00007599743,0.000005076681,0.000001005869,0.0005501386,7.638998e-7,0.001655759,0.001667518,0.217013,0.0002063402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871184,0.00009117328,0.000004599192,0.005188099,0.0006178545,0.0001911777,0.000006030969,0.00008864981,0.006693981],"genre_scores_gemma":[0.9657128,0.000006502433,0.00002818182,0.00015131,0.0001465691,0.00001248951,0.0000273171,5.57811e-7,0.03391423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7293773,"threshold_uncertainty_score":0.9999791,"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."}}