{"id":"W4361761741","doi":"10.2139/ssrn.4403218","title":"A Production Capacity Investment Decision-Making Tool for the Indoor Vertical Farming Industry","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Blood Services; Dalhousie University","funders":"","keywords":"Production (economics); Vertical integration; Investment (military); Business; Industrial organization; Agriculture; Natural resource economics; Agricultural economics; Economics; Microeconomics; Geography","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":[0.005185202,0.001307801,0.001580533,0.002261779,0.0006166809,0.002856112,0.00152479,0.001985061,0.01723525],"category_scores_gemma":[0.008848852,0.0007178378,0.001071762,0.00179545,0.0005303179,0.002469151,0.001240426,0.001614636,0.0008350923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893447,"about_ca_system_score_gemma":0.00209785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005749835,"about_ca_topic_score_gemma":0.005883411,"domain_scores_codex":[0.9985749,0.0007419358,0.00007132123,0.000202732,0.0002184735,0.0001907694],"domain_scores_gemma":[0.990004,0.008501475,0.0003720253,0.0002168749,0.0006089743,0.0002966973],"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":[0.0003324446,0.0003144996,0.003513415,0.0001211887,0.0001098249,0.0001061592,0.0001011278,0.9013832,0.0006126552,0.01206334,0.002324498,0.07901771],"study_design_scores_gemma":[0.00002968803,0.0001048912,0.0005033019,0.0000224638,0.00002943192,0.00001129073,0.00006083473,0.9908866,0.0002915681,0.007480694,0.0005634304,0.00001576542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1419808,0.0002764923,0.8259841,0.001127845,0.00009305262,0.0006068294,0.001550055,0.001114616,0.02726625],"genre_scores_gemma":[0.8047881,0.0001348246,0.190423,0.00009908545,0.00004417754,0.000443797,0.0005875549,0.00008944284,0.003390055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01723525,"threshold_uncertainty_score":0.05765766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237393754230289,"score_gpt":0.2501806913273566,"score_spread":0.2278067537850537,"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."}}