{"id":"W2015516003","doi":"10.1126/science.1140429","title":"Evolution and Development of Inflorescence Architectures","year":2007,"lang":"en","type":"article","venue":"Science","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":405,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Inflorescence; Evolutionary biology; Biology; Selection (genetic algorithm); Range (aeronautics); Branching (polymer chemistry); Biological evolution; Ecology; Computer science; Genetics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003813371,0.00003256351,0.00003990027,0.00001006437,0.0002218657,0.000008826301,0.0001060545,0.00000951131,0.000005434036],"category_scores_gemma":[0.00003924625,0.0000106761,0.000005373538,0.0002307354,0.0002740801,0.00003129462,0.00006708869,0.00002188714,0.000002172337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008527199,"about_ca_system_score_gemma":0.000009452894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001731278,"about_ca_topic_score_gemma":0.001052064,"domain_scores_codex":[0.9995334,0.000002390802,0.00007301923,0.0001029019,0.0001513044,0.0001370053],"domain_scores_gemma":[0.9998662,0.00003858015,0.00002487483,0.00000612706,0.00002771134,0.00003647216],"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":[0.00000529824,0.000005252592,0.09711606,0.000001215517,3.483738e-7,2.63633e-7,0.0001604162,2.630798e-7,0.8269356,0.0001481115,0.0000019337,0.07562517],"study_design_scores_gemma":[0.00001181098,0.00002473475,0.9437842,0.000006585103,2.960028e-7,0.000001698764,0.0001637776,0.000004410616,0.05496211,0.0001608889,0.0008461206,0.00003339378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991802,0.0001604943,0.00003369785,0.00003020491,0.00001526984,0.00002644672,0.000001122093,0.000009616369,0.0005429653],"genre_scores_gemma":[0.9991388,0.000003260309,0.0008136079,0.00001331316,0.00002069101,3.519629e-7,1.721752e-7,5.092432e-8,0.000009806546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8466681,"threshold_uncertainty_score":0.1706434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312586953063425,"score_gpt":0.2211085915020979,"score_spread":0.1879827219714636,"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."}}