{"id":"W2027283199","doi":"10.4141/cjps07112","title":"Impact of agronomic factors on seed yield formation and quality in flax","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seeding; Sowing; Agronomy; Cultivar; Yield (engineering); Plant density; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005932653,0.00004152816,0.0001406995,0.000449849,0.00006964464,0.000008527889,0.00008108782,0.00002071127,0.00001276027],"category_scores_gemma":[0.0002903837,0.00002604283,0.00003494001,0.0001879904,0.0002331108,0.0001709066,0.00000369366,0.0001404692,7.375409e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448795,"about_ca_system_score_gemma":0.002028528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01379607,"about_ca_topic_score_gemma":0.005991056,"domain_scores_codex":[0.9993907,0.00001887799,0.0001751926,0.00005233968,0.0001814243,0.0001814705],"domain_scores_gemma":[0.9992635,0.00007295229,0.0000893112,0.00005724091,0.00005686807,0.0004601492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006454303,0.00001506641,0.9044919,0.00001562279,0.00000624933,0.0001126737,0.001005928,0.00008165101,0.09384181,0.00002865924,0.000105889,0.0002299976],"study_design_scores_gemma":[0.0002583414,0.0005238692,0.9904469,0.00009888697,0.000001912113,0.0003206067,0.00009793582,0.0001613823,0.008048119,0.000005736757,0.000009499809,0.00002676265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995129,0.00004612903,0.000006018017,0.00006695731,0.00004228387,0.00006135505,0.0000281671,4.72271e-7,0.0002356832],"genre_scores_gemma":[0.9999266,0.0000141279,0.00001590766,0.00001397186,0.00001682807,1.035965e-7,0.00000104174,0.000001343442,0.00001007458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08595505,"threshold_uncertainty_score":0.9927711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07150969729017656,"score_gpt":0.3302312126216931,"score_spread":0.2587215153315165,"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."}}