{"id":"W2160457197","doi":"10.1016/j.biocon.2007.02.018","title":"Heuristic algorithms vs. linear programs for designing efficient conservation reserve networks: Evaluation of solution optimality and processing time","year":2007,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Carleton University; Environment and Climate Change Canada","funders":"","keywords":"Heuristics; Heuristic; Computer science; Mathematical optimization; Algorithm; Null-move heuristic; Consistent heuristic; Search algorithm; Mathematics; Incremental heuristic search; Beam search","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":[0.00433898,0.001513489,0.001500706,0.001806668,0.0006493296,0.001549445,0.001151898,0.002066511,0.004653815],"category_scores_gemma":[0.0131348,0.0009068011,0.000742141,0.001597647,0.00101505,0.001837797,0.0006944276,0.001261298,0.0004035916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843369,"about_ca_system_score_gemma":0.002939926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00961751,"about_ca_topic_score_gemma":0.00735942,"domain_scores_codex":[0.9983227,0.001020934,0.00006869174,0.0002076896,0.0001802538,0.0001997259],"domain_scores_gemma":[0.9803199,0.01797447,0.0007350483,0.0003257107,0.0004054141,0.0002394331],"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":[0.0002051826,0.0001140299,0.0002868503,0.00007636326,0.00003200673,0.00001336997,0.00002308251,0.9683502,0.0001606611,0.004412211,0.0006051328,0.02572076],"study_design_scores_gemma":[0.00007410104,0.0000614427,0.00005479193,0.000008395237,0.00001409018,0.000005614252,0.00001580059,0.9950022,0.0001772403,0.004438608,0.0001442041,0.00000341175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1740715,0.00150294,0.8117093,0.001056789,0.0001352794,0.0005739406,0.0004065581,0.0009089079,0.009634723],"genre_scores_gemma":[0.6274893,0.0007731586,0.3677949,0.0002567994,0.0001219457,0.0008022751,0.0003608298,0.0001812781,0.002219536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00961751,"threshold_uncertainty_score":0.02294701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2904832416972326,"score_gpt":0.2993051758238464,"score_spread":0.008821934126613862,"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."}}