{"id":"W1856004214","doi":"10.1111/j.1365-294x.2011.05166.x","title":"Connecting the sun to flowering in sunflower adaptation","year":2011,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences","keywords":"Biology; photoperiodism; Adaptation (eye); Sunflower; Helianthus annuus; Phenotypic plasticity; Gene; Phenotype; Evolutionary biology; Helianthus; Modularity (biology); Genetic architecture; Natural selection; Gene regulatory network; Genetics; Transcriptome; Convergent evolution; Epistasis; Gene expression; Selection (genetic algorithm); Botany; Phylogenetics; Neuroscience","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":[0.000158215,0.0001319056,0.0002084525,0.000295515,0.0002666347,0.0003482113,0.0001857383,0.0002605638,0.001007627],"category_scores_gemma":[0.0003909129,0.0001331333,0.0001025065,0.0001690398,0.0003579968,0.0004377932,0.0003505888,0.0002410227,0.0000764221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000354806,"about_ca_system_score_gemma":0.0001766427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739362,"about_ca_topic_score_gemma":0.002881713,"domain_scores_codex":[0.9999311,0.00001089603,0.000002984078,0.00002917951,0.00001051947,0.00001531938],"domain_scores_gemma":[0.9998546,0.00003363971,0.00004928216,0.00001171702,0.00001440505,0.000036453],"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":[0.0005199976,0.00003886623,0.09823004,0.00009763759,0.00004483004,0.0003449428,0.0006869774,0.00218319,0.8702773,0.001898046,0.0001724362,0.0255058],"study_design_scores_gemma":[0.00001419655,0.00008872195,0.9822257,0.000009470455,0.00002036182,0.0002270535,0.0002007022,0.002134227,0.01202768,0.002257454,0.0007794542,0.00001510108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986361,0.0002315889,0.0005699891,0.00005509986,0.000002557429,0.000001701183,0.00003286187,0.00001425556,0.0004559876],"genre_scores_gemma":[0.9992697,0.0001044441,0.0002993285,0.00003685064,0.000006364849,0.000002089076,0.00005916739,0.000005700313,0.0002164175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001739362,"threshold_uncertainty_score":0.0034585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910108840032071,"score_gpt":0.2404556649479782,"score_spread":0.2013545765476575,"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."}}