{"id":"W2043223183","doi":"10.1142/s0219467805001938","title":"STATE OF THE ART IN THE REALISTIC MODELING OF PLANT VENATION SYSTEMS","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics; Image (mathematics); Set (abstract data type); Artificial intelligence; Algorithm; Computer vision; Computer graphics (images); Theoretical computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001505762,0.0008198391,0.001347015,0.0009173297,0.0005936824,0.003777778,0.002374061,0.002312635,0.004549467],"category_scores_gemma":[0.004981414,0.0008823061,0.001658515,0.001144345,0.001456587,0.002794702,0.001334252,0.001646395,0.001889959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113992,"about_ca_system_score_gemma":0.0008174683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321786,"about_ca_topic_score_gemma":0.00122533,"domain_scores_codex":[0.9990376,0.0002466161,0.00008351857,0.0001240875,0.0004453553,0.00006276477],"domain_scores_gemma":[0.9974293,0.001651767,0.0001665861,0.0004089935,0.0002770618,0.00006626029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008247582,0.00006007052,0.0008266335,0.0009608011,0.0000459511,0.0001578002,0.0002790177,0.7628962,0.01190898,0.1299355,0.002214299,0.09063234],"study_design_scores_gemma":[0.00001393013,0.00005472343,0.0002402265,0.0001275233,0.00002733935,0.0001635575,0.00004437986,0.9329292,0.005013952,0.02961906,0.03172267,0.00004355628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01094423,0.007825265,0.9634461,0.0009257839,0.0001197138,0.00007697562,0.0002151629,0.0008013414,0.01564541],"genre_scores_gemma":[0.3450876,0.04555434,0.5978634,0.0004179391,0.000513854,0.0003882489,0.001283108,0.0006869283,0.008204573],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004549467,"threshold_uncertainty_score":0.01521951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458215476437153,"score_gpt":0.2254000124706538,"score_spread":0.2108178577062823,"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."}}