{"id":"W2102333306","doi":"10.1111/j.1467-8276.2007.01016.x","title":"Strike When the Force Is with You: Optimal Stopping with Application to Resource Equilibria","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Foundation for Community Association Research","keywords":"Non-renewable resource; Economic rent; Resource (disambiguation); Economics; Microeconomics; Investment (military); Value (mathematics); Optimal stopping; Natural resource economics; Present value; Path (computing); Finance; Computer science; Financial economics; Renewable energy","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":[0.0005274479,0.0001952891,0.000493847,0.0001712833,0.0001371518,0.0001355771,0.0004026505,0.00003466551,0.0000313231],"category_scores_gemma":[0.000009820659,0.0001096818,0.0001672906,0.0003831669,0.0001585541,0.0003581913,0.00004744266,0.0001948988,0.0000428538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064991,"about_ca_system_score_gemma":0.00002359551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002048997,"about_ca_topic_score_gemma":0.0001192742,"domain_scores_codex":[0.9986286,0.00001042916,0.0007272467,0.0002652036,0.00005358207,0.0003149015],"domain_scores_gemma":[0.9980675,0.0000686379,0.001340666,0.0002377581,0.0000878185,0.0001976398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.004596309,0.0007614308,0.1387896,0.00005571197,0.006679261,0.00004734057,0.0475123,0.1960202,0.00202168,0.5111255,0.02676098,0.06562972],"study_design_scores_gemma":[0.00487607,0.01075873,0.4701089,0.0001818662,0.000708399,0.001233379,0.07451916,0.00700698,0.003274964,0.00596936,0.4179323,0.003429838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870588,0.0005412238,0.005416056,0.005141363,0.0000412403,0.0001792866,0.00002056141,0.000009987629,0.001591536],"genre_scores_gemma":[0.991166,0.0002391613,0.005855694,0.001498003,0.000317883,0.000004931287,0.000009310666,0.00002062749,0.0008883651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5051561,"threshold_uncertainty_score":0.4472693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008007514831341487,"score_gpt":0.1875831639434542,"score_spread":0.1795756491121127,"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."}}