{"id":"W2414418934","doi":"","title":"Complexity and information in regular and random phyllotactic patterns.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Phyllotaxis; Entropy (arrow of time); Statistical physics; Transfer entropy; Computer science; Information theory; Mathematics; Principle of maximum entropy; Biology; Physics; Artificial intelligence; Statistics; Thermodynamics","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":[0.0001058161,0.00006169197,0.000115598,0.000007310593,0.00006946824,0.00002217003,0.00003407998,0.00004334196,0.000003856662],"category_scores_gemma":[0.00002404496,0.00002031341,0.00001274698,0.00006564763,0.00007503744,0.0001524261,0.00003534738,0.00004971111,9.402299e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000569841,"about_ca_system_score_gemma":3.646532e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003914429,"about_ca_topic_score_gemma":0.0005621662,"domain_scores_codex":[0.9995594,0.00003532055,0.0001014716,0.00009090805,0.00003877737,0.0001741374],"domain_scores_gemma":[0.9998376,0.0000870485,0.00003299947,0.00001072435,0.000009287053,0.00002233147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002911917,0.00005971802,0.4228389,0.00001471379,0.00001237784,0.000004069343,0.00001822729,7.444158e-7,0.01105651,0.001318338,0.0002704858,0.5641147],"study_design_scores_gemma":[0.0002740766,0.00002823584,0.9951193,0.000001377773,0.000002349792,0.000003697533,0.00001712999,0.00001431328,0.0001392529,0.002244983,0.002094422,0.00006079951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981326,0.0002079347,4.875884e-7,0.001065625,0.00001509146,0.0002024984,0.00001512606,0.00001938318,0.0003412939],"genre_scores_gemma":[0.9994063,0.0001816962,0.000004485676,0.0002133502,0.00004479663,0.00008468996,0.00004710758,1.000382e-7,0.00001750726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5722805,"threshold_uncertainty_score":0.08283567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158881848020966,"score_gpt":0.1615970525681359,"score_spread":0.1457088677660393,"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."}}