{"id":"W2161994494","doi":"","title":"Selecting maize for rapid kernel drydown: timing of moisture measurement.","year":2014,"lang":"en","type":"article","venue":"Maydica","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Moisture; Biology; Hybrid; Water content; Agronomy; Zea mays; Horticulture; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005902667,0.0004334432,0.000381357,0.0004862141,0.0001885255,0.0004138568,0.0005138313,0.000455914,0.0008553124],"category_scores_gemma":[0.0009825849,0.0002555994,0.000310153,0.0003480221,0.0001655626,0.0004990986,0.0003335213,0.0005950148,0.0003634104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078802,"about_ca_system_score_gemma":0.0001785321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009642591,"about_ca_topic_score_gemma":0.003417619,"domain_scores_codex":[0.999472,0.0001135232,0.0000515475,0.000178821,0.000144766,0.00003941538],"domain_scores_gemma":[0.998874,0.0002441724,0.0004929858,0.0001004602,0.0001426467,0.0001456797],"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":[0.0002725694,0.00005829012,0.006718129,0.00003822377,0.00001293267,0.0000314733,0.00004890401,0.00005447972,0.9881408,0.00001796516,0.00004291352,0.004563252],"study_design_scores_gemma":[0.00004580811,0.001911109,0.3421429,0.00001127623,0.0001037858,0.0003165616,0.0001499372,0.001545873,0.6510261,0.00005345091,0.002631394,0.00006176047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812368,0.0003351535,0.0164403,0.00005001115,0.00003271963,0.0001983852,0.000574669,0.0002408104,0.0008911592],"genre_scores_gemma":[0.9699876,0.0002209991,0.02684171,0.00008880992,0.00001116984,0.0002112494,0.0009113771,0.0001167551,0.001610234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009642591,"threshold_uncertainty_score":0.003121674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708802212618791,"score_gpt":0.2257418634614893,"score_spread":0.1786538413353014,"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."}}