{"id":"W1456458654","doi":"10.1007/978-3-540-89682-1_3","title":"Procedural Natural Phenomena from Least-Cost Paths in a Weighted Graph","year":2008,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Graph; Computer science; Lattice (music); Generator (circuit theory); Process (computing); Path (computing); Topology (electrical circuits); Algorithm; Theoretical computer science; Combinatorics; Mathematics; Physics; Programming language","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":[0.0005309939,0.0005350112,0.0004438643,0.001855324,0.000656366,0.001587031,0.001260405,0.0008981224,0.006530306],"category_scores_gemma":[0.004439424,0.0004880978,0.0009365201,0.001934916,0.001572366,0.004325281,0.001447351,0.001670227,0.0005179474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006608369,"about_ca_system_score_gemma":0.0005505516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002322662,"about_ca_topic_score_gemma":0.003743521,"domain_scores_codex":[0.9995996,0.00008785065,0.00002367939,0.0001301304,0.0001304808,0.00002817355],"domain_scores_gemma":[0.9983267,0.001079891,0.0001378564,0.0002488013,0.000142101,0.00006466917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004233036,0.00002698538,0.0005046137,0.0001699053,0.00002175737,0.0001547936,0.0004546401,0.05145192,0.002752103,0.8850031,0.002765647,0.05665216],"study_design_scores_gemma":[0.000006355034,0.00000920644,0.0001975233,0.00002589729,0.00001297749,0.00010779,0.0000821579,0.097214,0.001048007,0.8947071,0.006577429,0.00001156835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02457163,0.000133831,0.9646127,0.0002216468,0.00002729969,0.00007027215,0.0005048389,0.000450574,0.00940718],"genre_scores_gemma":[0.3116744,0.0004547325,0.6781951,0.00009403241,0.00005491572,0.0002017419,0.001437045,0.0005790333,0.007309014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006530306,"threshold_uncertainty_score":0.02184606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366037246700519,"score_gpt":0.2894592462549842,"score_spread":0.255798873787979,"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."}}