{"id":"W2016050712","doi":"10.1104/pp.105.060483","title":"Quantitative Modeling of Arabidopsis Development","year":2005,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Arabidopsis; Arabidopsis thaliana; Process (computing); Computer science; Key (lock); Plant development; Biology; Computational biology; Ecology; Mutant","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":[0.0004680202,0.0004532818,0.0003204782,0.0003274519,0.000215685,0.0007194884,0.0009249172,0.0005460578,0.001960071],"category_scores_gemma":[0.001596614,0.0002258813,0.0004850783,0.0003267805,0.0005875013,0.0006614103,0.0003966332,0.0005763557,0.0002950322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103934,"about_ca_system_score_gemma":0.0006413953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005216497,"about_ca_topic_score_gemma":0.002489931,"domain_scores_codex":[0.9998302,0.00005294695,0.000007958104,0.00004497296,0.00004406854,0.00001971119],"domain_scores_gemma":[0.9995409,0.0002518911,0.00007671634,0.00003987981,0.00006152861,0.000029153],"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":[0.00001207736,0.00001026011,0.0004487775,0.00003376982,0.000009131674,0.00003589219,0.00003304044,0.9307951,0.002951923,0.06235955,0.0003059139,0.003004557],"study_design_scores_gemma":[0.000004645102,0.000008260447,0.0002428989,0.000003339646,0.000004062049,0.00001602501,0.000005612699,0.9854313,0.0002729619,0.01253724,0.001469049,0.000004488391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08236035,0.0006104974,0.8970999,0.0007393659,0.00004437485,0.00004635912,0.001211092,0.0004982008,0.01738987],"genre_scores_gemma":[0.9106475,0.0008327591,0.08088636,0.00008546813,0.00003117052,0.0002625538,0.0006709924,0.0001136489,0.006469544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005216497,"threshold_uncertainty_score":0.01037228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536030021477118,"score_gpt":0.2267508692426158,"score_spread":0.1913905690278447,"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."}}