{"id":"W4220732167","doi":"10.3390/plants11070871","title":"Photoperiod Affects Node Appearance Rate and Flowering in Early Maturing Soybean","year":2022,"lang":"en","type":"article","venue":"Plants","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Agriculture and Agri-Food Canada; University of Manitoba","funders":"Agriculture and Agri-Food Canada; Canadian Field Crop Research Alliance; Western Grains Research Foundation","keywords":"photoperiodism; Cultivar; Biology; Frost (temperature); Horticulture; Agronomy; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008664156,0.0001379416,0.0001166649,0.0001514261,0.00008659604,0.0001646583,0.0000818286,0.0001169965,0.0005887681],"category_scores_gemma":[0.0001248795,0.0001059899,0.0001465954,0.00007176056,0.00006510269,0.0001252018,0.0001105406,0.0003054939,0.0001119825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256213,"about_ca_system_score_gemma":0.00007459798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538143,"about_ca_topic_score_gemma":0.003748877,"domain_scores_codex":[0.9999601,0.000006776964,0.00000379261,0.00001507584,0.000006672266,0.00000760143],"domain_scores_gemma":[0.9998513,0.00003064084,0.0000506046,0.000007179491,0.00001363216,0.00004655171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003224811,0.00003781858,0.01012245,0.0000194193,0.00000627717,0.00003262312,0.00004022819,0.00002970845,0.9882279,0.000007564546,0.0000173132,0.001136319],"study_design_scores_gemma":[0.00001889566,0.001072525,0.9305828,0.000004380584,0.00001974912,0.000121915,0.00008411716,0.0005717196,0.06710047,0.00002001994,0.0003944879,0.000009009589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995845,0.0001075104,0.00008136412,0.000004870662,0.000001939098,0.000002941561,0.00006686916,0.000005423273,0.0001446861],"genre_scores_gemma":[0.9990563,0.00006623035,0.0001927451,0.00001476273,0.000001251264,0.000006090777,0.0001736883,0.000005599225,0.0004833142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001538143,"threshold_uncertainty_score":0.003058434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125289529920471,"score_gpt":0.1891905721487936,"score_spread":0.1766616191567465,"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."}}