{"id":"W2083381291","doi":"10.4141/p06-070","title":"Post-flowering dry matter accumulation and partitioning and timing of crop maturity in chickpea in western Canada","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Centers for Disease Control and Prevention; Saskatchewan Pulse Growers","keywords":"Dry matter; Point of delivery; Biology; Crop; Maturity (psychological); Agronomy; Sowing; Growing season; Dry weight; Horticulture; Allometry; Ecology","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":[0.0003643944,0.00003692922,0.00007012819,0.00003574283,0.00009135802,0.00002101579,0.00006305376,0.00001362833,0.00001670857],"category_scores_gemma":[0.00001887518,0.00001830557,0.000005022331,0.0001039447,0.0001256683,0.0001003064,0.00001575016,0.00005708214,1.272285e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005879751,"about_ca_system_score_gemma":0.00005524825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5342928,"about_ca_topic_score_gemma":0.9890036,"domain_scores_codex":[0.9995279,0.000007251222,0.0001475091,0.0000671145,0.00009329549,0.0001568846],"domain_scores_gemma":[0.9997663,0.00003135677,0.00005672176,0.00001053328,0.00001215315,0.0001229074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003473579,0.000001431403,0.9778243,0.000002518919,4.280691e-7,0.0000246073,0.0002535051,0.0000657331,0.02051069,0.000001452837,0.000004162934,0.001307667],"study_design_scores_gemma":[0.00004310737,0.00002212408,0.9982086,0.00004745905,9.117657e-7,0.00003267943,0.0006695546,0.00005459769,0.0008115249,0.00001355375,0.00005930519,0.00003653021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999405,0.0001556972,0.000001748228,0.000300345,0.00004374934,0.00002309596,0.00001525571,2.353557e-7,0.00005484902],"genre_scores_gemma":[0.9998225,0.00001206409,0.00005694985,0.00009011226,0.00001212841,9.301959e-8,7.487149e-7,1.918484e-7,0.000005211959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4547108,"threshold_uncertainty_score":0.4688084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807415890471649,"score_gpt":0.2055554817587384,"score_spread":0.187481322854022,"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."}}