{"id":"W1974837692","doi":"10.3389/fpls.2012.00076","title":"L-Py: An L-System Simulation Framework for Modeling Plant Architecture Development Based on a Dynamic Language","year":2012,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Institut national de recherche en informatique et en automatique (INRIA); Agropolis Fondation","keywords":"Computer science; Plant system; Engineering; Agricultural engineering","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":[0.001395535,0.00108832,0.0007261881,0.0008807636,0.0008500479,0.001740138,0.003103287,0.001603714,0.008866259],"category_scores_gemma":[0.002657031,0.0008459992,0.002261494,0.0005741655,0.001279999,0.002198483,0.002458438,0.002189443,0.001746411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183051,"about_ca_system_score_gemma":0.002695699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007577701,"about_ca_topic_score_gemma":0.006861646,"domain_scores_codex":[0.9995348,0.0001462133,0.00004906292,0.00008827174,0.0001218876,0.0000597379],"domain_scores_gemma":[0.9990993,0.0004681592,0.00009197305,0.0001469558,0.0001106368,0.00008300401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001706609,0.0001582488,0.003383602,0.0005628866,0.0001370031,0.0004735302,0.0008114261,0.7402264,0.01357997,0.1888998,0.009130995,0.0424656],"study_design_scores_gemma":[0.00005108798,0.00003892686,0.0002017211,0.00005520926,0.00003133387,0.0001106301,0.00003732711,0.9236683,0.004389491,0.02530374,0.04606751,0.00004464038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003015378,0.00004147229,0.9835512,0.00009081365,0.00003308245,0.00008199292,0.0003784064,0.01010197,0.002705796],"genre_scores_gemma":[0.1242814,0.0004774132,0.860438,0.0002032751,0.0000491305,0.001064127,0.001937223,0.005694577,0.005854881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008866259,"threshold_uncertainty_score":0.02966058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645412229821265,"score_gpt":0.2408251449772206,"score_spread":0.2243710226790079,"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."}}