{"id":"W2235805182","doi":"","title":"Lossy compression of plant architectures","year":2010,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for the Mathematical Sciences","funders":"","keywords":"Theoretical computer science; Computer science; Representation (politics); Data structure; Branching (polymer chemistry); Algorithm; Lossy compression; Inverse; Fractal; Mathematics; Artificial intelligence; Geometry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003106742,0.0004386447,0.0006389086,0.00007206747,0.0005072744,0.0001234418,0.001965527,0.001068946,0.001639249],"category_scores_gemma":[0.0009233595,0.0002473346,0.0003607026,0.0003297247,0.001068716,0.00005278257,0.001433147,0.001509077,0.00008712643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003408445,"about_ca_system_score_gemma":0.00006944736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110433,"about_ca_topic_score_gemma":0.01393974,"domain_scores_codex":[0.9940017,0.003551783,0.0007159548,0.0008199508,0.0003983876,0.0005122624],"domain_scores_gemma":[0.9946078,0.002349037,0.0008176426,0.0009256362,0.001097622,0.0002022738],"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":[0.00009029955,0.001525484,0.0177367,0.0002337185,0.0001444353,0.00001361688,0.002665085,0.00006271423,0.443394,0.2988182,0.001105811,0.2342099],"study_design_scores_gemma":[0.00146563,0.000007254824,0.2115993,0.00632477,0.0002461767,0.0001006454,0.0004405454,0.01208205,0.5916879,0.05279928,0.12171,0.001536432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945797,0.0022122,0.001903636,0.03417893,0.000434663,0.0005579637,0.0006084145,0.0002634937,0.01404373],"genre_scores_gemma":[0.9869215,0.0007164472,0.005478048,0.0001074726,0.00005631217,0.00004627035,0.0005897596,0.000008976285,0.006075191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460189,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231615311363756,"score_gpt":0.2062303855149915,"score_spread":0.1939142324013539,"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."}}