{"id":"W1964748218","doi":"10.1139/x01-030","title":"Effect of decision variable definition and data aggregation on a search process applied to a single-tree simulator","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brattåsstiftelsen för Skogsvetenskaplig Forskning; Sveriges Lantbruksuniversitet","keywords":"Tabu search; Tree (set theory); Time horizon; Set (abstract data type); Selection (genetic algorithm); Computer science; Variable (mathematics); Data set; Mathematics; Statistics; Net present value; Mathematical optimization; Production (economics); Machine learning; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002916533,0.00009314164,0.0001557773,0.0005512809,0.0001811388,0.00009330695,0.0006042535,0.00005689358,0.0005096433],"category_scores_gemma":[0.000761914,0.00007631261,0.00001884652,0.0009243053,0.0001917298,0.0002581846,0.0001317669,0.0002587665,0.0001594864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309815,"about_ca_system_score_gemma":0.0001693988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005519555,"about_ca_topic_score_gemma":0.03224316,"domain_scores_codex":[0.9982764,0.0001250123,0.0002368635,0.0002121007,0.0007263325,0.0004232737],"domain_scores_gemma":[0.9984816,0.0004555067,0.00006434152,0.0003503142,0.00006339237,0.0005848448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002530443,0.000159975,0.5542983,0.0002312816,0.00005664101,0.0003387064,0.001318107,0.05948292,0.001498327,0.004492764,0.02260436,0.3529881],"study_design_scores_gemma":[0.01466352,0.03764025,0.6877403,0.003877042,0.0002351977,0.0005872318,0.0005827321,0.05415135,0.01007702,0.04191173,0.1466197,0.001913949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793217,0.000026568,0.0001933413,0.0002139424,0.0000343502,0.0003590369,0.00001133164,0.000002263151,0.01983744],"genre_scores_gemma":[0.9993011,0.00001177603,0.0003699075,0.00004323879,0.00007098637,0.000004285011,0.0000103089,0.00001274411,0.0001756096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3510742,"threshold_uncertainty_score":0.9854159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0671283975869852,"score_gpt":0.3491845411295106,"score_spread":0.2820561435425254,"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."}}