{"id":"W2086100331","doi":"10.5784/24-2-62","title":"Portfolio selection theory and wildlife management","year":2008,"lang":"en","type":"article","venue":"Orion/ORiON","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cascades (Canada)","funders":"","keywords":"Portfolio; Selection (genetic algorithm); Modern portfolio theory; Incentive; Game theory; Resource (disambiguation); Risk–return spectrum; Project portfolio management; Investment (military); Microeconomics; Business; Computer science; Economics; Environmental resource management; Finance; Project management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004991581,0.0001326325,0.0002153854,0.0002241314,0.0002428038,0.00003881493,0.00008359522,0.00007471287,0.0006594718],"category_scores_gemma":[0.00001143717,0.0001433935,0.00005985038,0.0002496895,0.00004406894,0.000218673,0.00003977359,0.0001071734,0.0002644616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006779238,"about_ca_system_score_gemma":0.000009751838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009960451,"about_ca_topic_score_gemma":0.00001016261,"domain_scores_codex":[0.9990399,0.00000707133,0.0003550845,0.0003290142,0.00004973845,0.0002192125],"domain_scores_gemma":[0.9994975,0.00001304343,0.0001965338,0.0001936258,0.00002247364,0.0000768363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005277243,0.00008745354,0.2143066,0.00003783183,0.00007780096,0.00002475145,0.0003077608,0.0002515494,0.000006715841,0.7577468,0.02225245,0.004847494],"study_design_scores_gemma":[0.0004701439,0.00007830796,0.2041501,0.00001609885,0.00001356487,0.00004457818,0.00004787911,0.003039123,0.00003587515,0.01907762,0.7727355,0.000291143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127148,0.00162399,0.007692921,0.0005827873,0.001036733,0.0002659085,0.00002031128,0.00008753173,0.075975],"genre_scores_gemma":[0.9771624,0.00674212,0.0002995442,0.0007732482,0.0002660954,0.00001266554,0.00001997935,0.00002110826,0.01470279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7504831,"threshold_uncertainty_score":0.7220755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801963178538981,"score_gpt":0.2031010680636989,"score_spread":0.1850814362783091,"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."}}