{"id":"W2143391523","doi":"10.1111/j.1744-7976.2007.00104.x","title":"Dynamic Programming and Learning Models for Management of a Nonnative Species","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Forestry; Stochastic programming; Cartography; Geography; Operations research; Mathematics; Machine learning; Welfare economics; Humanities; Artificial intelligence; Computer science; Philosophy; Statistics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009940175,0.000975238,0.0007714807,0.0004386613,0.0003998305,0.00123969,0.001093163,0.001639438,0.004332419],"category_scores_gemma":[0.002847313,0.0004245896,0.0008865425,0.0006209612,0.0009722122,0.001175147,0.0007879839,0.001941818,0.0003181997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176199,"about_ca_system_score_gemma":0.001739749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01716667,"about_ca_topic_score_gemma":0.01191562,"domain_scores_codex":[0.9996395,0.0001634984,0.00001592689,0.0000727838,0.00005738694,0.00005078841],"domain_scores_gemma":[0.9983448,0.001289755,0.0001697406,0.00002713392,0.0001055703,0.00006303966],"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":[0.00001164777,0.00001618549,0.0001995351,0.00001860515,0.00001003706,0.00001594657,0.00001941707,0.9843234,0.00008925288,0.01277774,0.0001805931,0.002337752],"study_design_scores_gemma":[0.000005744331,0.00001105526,0.00007220871,0.000003549055,0.000003900444,0.000003845591,0.000006216003,0.990551,0.00002752901,0.008996475,0.0003149462,0.000003572148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07250027,0.001727811,0.9049532,0.00263687,0.0001344585,0.00008789042,0.000298564,0.0002480706,0.01741281],"genre_scores_gemma":[0.8987263,0.001949567,0.07318299,0.0002567546,0.0001572531,0.0005101592,0.0002475306,0.00009315624,0.02487619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01716667,"threshold_uncertainty_score":0.03413349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808173748910808,"score_gpt":0.1792276144416019,"score_spread":0.1611458769524939,"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."}}