{"id":"W2038897872","doi":"10.4141/p01-170","title":"Moisture in maize kernels at physiological maturity","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moisture; Water content; Agronomy; Kernel (algebra); Maturity (psychological); Environmental science; Mathematics; Crop; Biology; Chemistry; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00008279009,0.0001262361,0.0001184656,0.0003781538,0.0001510755,0.0002943647,0.0001342436,0.0001747687,0.0007325093],"category_scores_gemma":[0.0001757516,0.0001398806,0.0001118904,0.0001899266,0.0001548853,0.0002555075,0.0001876156,0.000279885,0.0001660128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005685675,"about_ca_system_score_gemma":0.0001638786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008054151,"about_ca_topic_score_gemma":0.005962829,"domain_scores_codex":[0.9999512,0.000003130373,0.000002165554,0.00001594028,0.00001471898,0.00001289398],"domain_scores_gemma":[0.9998709,0.0000143262,0.00004272918,0.000007625626,0.00002711493,0.00003746098],"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":[0.0003343337,0.00001024943,0.006946752,0.00002424724,0.00000722935,0.00004578686,0.0001371809,0.00005643924,0.9911634,0.0001268971,0.00002935461,0.001118071],"study_design_scores_gemma":[0.0000156087,0.000244856,0.7547296,0.000009764824,0.00002150564,0.0001735943,0.0002049377,0.0006650499,0.2423213,0.0001687403,0.00142848,0.00001657061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983163,0.000316522,0.0003047006,0.00001253695,0.000002248146,0.000002964312,0.0002992323,0.00001225344,0.0007332074],"genre_scores_gemma":[0.998843,0.00007948863,0.00006757186,0.000007991935,0.000001653626,0.000002673853,0.0002999463,0.000007839397,0.0006897453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008054151,"threshold_uncertainty_score":0.01601452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141702317303841,"score_gpt":0.1586456048410365,"score_spread":0.1472285816679981,"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."}}