{"id":"W4401432810","doi":"10.5376/ijh.2024.14.0022","title":"Optimizing Engineered SynComs for Controlled Environment Agriculture (CEA): From Theory to Commercialization","year":2024,"lang":"en","type":"article","venue":"International Journal of Horticulture","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commercialization; Agriculture; Agricultural engineering; Business; Computer science; Biology; Engineering; Marketing; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081547,0.0004882344,0.0004163663,0.0003290793,0.0003205659,0.001600752,0.0006592127,0.0006134134,0.002025123],"category_scores_gemma":[0.00237058,0.0002252236,0.000367281,0.0003813312,0.001085617,0.001734244,0.001077475,0.0008973603,0.0002553069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134094,"about_ca_system_score_gemma":0.001237362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521942,"about_ca_topic_score_gemma":0.001918488,"domain_scores_codex":[0.9995023,0.0001098839,0.00001741329,0.0001150108,0.0001972745,0.00005805011],"domain_scores_gemma":[0.9991755,0.0003722785,0.0001196573,0.0001438998,0.0001501389,0.00003854251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001127223,0.0001571515,0.002044325,0.000240154,0.00004030145,0.0000973231,0.00007191015,0.7639709,0.01993095,0.1252008,0.0007251549,0.08740833],"study_design_scores_gemma":[0.00002906891,0.0004168183,0.0009836992,0.00006564421,0.00003034114,0.00006503925,0.00009583117,0.9284302,0.01336783,0.04608709,0.0104045,0.00002401913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1385395,0.001244751,0.8273895,0.0005709978,0.00009658772,0.0001245649,0.00008005044,0.0003662965,0.03158769],"genre_scores_gemma":[0.9384237,0.0008709557,0.05745091,0.00007553241,0.00001536268,0.00008796013,0.0000773627,0.00006519764,0.002932927],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002025123,"threshold_uncertainty_score":0.008228481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008372381489994384,"score_gpt":0.2239844609926878,"score_spread":0.2156120795026934,"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."}}