{"id":"W109801026","doi":"10.1016/j.cag.2009.05.001","title":"Sketch-based parameterization of L-systems using illustration-inspired construction lines and depth modulation","year":2009,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sketch; Computer science; Computer graphics (images); Modulation (music); Artificial intelligence; Computer vision; Algorithm; Physics; Acoustics","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":[0.0003587592,0.0005590328,0.0006289935,0.0006096709,0.0003895587,0.001143334,0.0009846424,0.0007528085,0.007191902],"category_scores_gemma":[0.002991782,0.000377731,0.0004930334,0.0006061409,0.0006495428,0.001531255,0.001341115,0.0007015009,0.0009030032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004142012,"about_ca_system_score_gemma":0.0002770546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009543084,"about_ca_topic_score_gemma":0.0009387266,"domain_scores_codex":[0.9997353,0.00007438177,0.00001843566,0.00006961342,0.00007375395,0.00002839929],"domain_scores_gemma":[0.9990928,0.0004170263,0.00008714066,0.0002250721,0.0001232973,0.00005459519],"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":[0.0003997681,0.00008027586,0.001122136,0.0002441156,0.00003230956,0.0001880215,0.0005117852,0.5623196,0.08253487,0.08125535,0.002269431,0.2690424],"study_design_scores_gemma":[0.00002032369,0.00003403864,0.0001501158,0.00001048489,0.000005786847,0.00005024725,0.00003169466,0.9786115,0.007774521,0.0108968,0.002393351,0.0000211776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02759329,0.00006636138,0.9682358,0.00004225582,0.00001628841,0.00003438606,0.00005873861,0.0008605148,0.003092344],"genre_scores_gemma":[0.7383783,0.0001245616,0.2579822,0.00003555226,0.0000176432,0.0001104638,0.0001770598,0.000386077,0.002788253],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007191902,"threshold_uncertainty_score":0.0240593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189740392992751,"score_gpt":0.224326255731385,"score_spread":0.1924288518014574,"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."}}