{"id":"W2109319128","doi":"10.4141/cjps07114","title":"Thermal time models for estimating wheat phenological development and weather-based relationships to wheat quality","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenology; Growing degree-day; Seeding; Anthesis; Growing season; Crop; Environmental science; Agronomy; Biology; Cultivar","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211758,0.00007953565,0.0001372932,0.0000475026,0.0006062039,0.00009049286,0.0002391219,0.00005283235,0.00002413868],"category_scores_gemma":[0.0001310989,0.00003294026,0.00002949311,0.0001808871,0.0001043557,0.00009963511,0.000007224407,0.00009547674,0.000003021911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004066016,"about_ca_system_score_gemma":0.0002553991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001383294,"about_ca_topic_score_gemma":0.002438702,"domain_scores_codex":[0.9991233,0.00004325073,0.0002378212,0.0001549591,0.0001390734,0.0003015325],"domain_scores_gemma":[0.999159,0.0001418856,0.00007173038,0.0000293076,0.0001066466,0.0004914054],"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":[0.00009128019,0.00005343521,0.004464478,0.000006484295,0.000006474141,0.00004582481,0.001972301,0.0107911,0.7766674,0.002712139,0.0008785226,0.2023106],"study_design_scores_gemma":[0.001577614,0.006441364,0.7779119,0.0004705903,0.0000626222,0.0005260106,0.001434033,0.1241621,0.04388699,0.02034205,0.02139394,0.001790804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951192,0.00008734086,0.001121027,0.003131778,0.00008560951,0.0001090588,0.0000489702,0.000004238016,0.0002928091],"genre_scores_gemma":[0.9735827,7.656042e-7,0.02575785,0.0005199497,0.00009611235,0.000001417406,0.00000592179,3.74104e-7,0.00003491901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7734475,"threshold_uncertainty_score":0.4662492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0792897779083812,"score_gpt":0.2539567949067427,"score_spread":0.1746670169983615,"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."}}