{"id":"W2891525693","doi":"10.1016/j.jedc.2018.09.001","title":"Investment and uncertainty with time to build: Evidence from entry into U.S. copper mining","year":2018,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Investment (military); Construct (python library); Economics; Econometrics; Investment decisions; Copper mine; Microeconomics; Copper; Computer science; Production (economics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001980131,0.0002728753,0.0003719353,0.0006822919,0.0008000451,0.00196544,0.0009553454,0.001785707,0.005035545],"category_scores_gemma":[0.02283689,0.0004312591,0.0004052509,0.00189561,0.001193785,0.001569789,0.00191413,0.001860837,0.0005754936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296166,"about_ca_system_score_gemma":0.001108678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09631155,"about_ca_topic_score_gemma":0.1361686,"domain_scores_codex":[0.9989303,0.0003456069,0.00009730225,0.000136146,0.0002175987,0.0002731078],"domain_scores_gemma":[0.9594508,0.01722996,0.01702221,0.001486758,0.001989675,0.002820473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000327289,0.0002516475,0.9911425,0.00001731111,0.00008243246,0.0001889758,0.001242572,0.0008673408,0.00007368551,0.0007424637,0.0009330512,0.004130694],"study_design_scores_gemma":[0.00002666975,0.0001639517,0.990399,0.00004419683,0.00005971909,0.0000748165,0.004344236,0.001651224,0.0001589208,0.001318174,0.001740021,0.00001913275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976379,0.0002161805,0.00008358533,0.0007515433,0.000004429218,0.000006456592,0.0002673707,0.000002448273,0.001030202],"genre_scores_gemma":[0.998528,0.0002383521,0.00003652433,0.00006090632,0.00001350509,0.000005870409,0.0003228298,0.000002619067,0.0007914655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09631155,"threshold_uncertainty_score":0.191502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008700714731392322,"score_gpt":0.2066890804192722,"score_spread":0.1979883656878799,"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."}}