{"id":"W2985207274","doi":"10.1016/j.solener.2020.04.008","title":"Design, construction and analysis of a thermal energy storage system adapted to greenhouse cultivation in isolated northern communities","year":2020,"lang":"en","type":"article","venue":"Solar Energy","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kativik Regional Government; École de Technologie Supérieure","funders":"Agence Nationale de la Recherche","keywords":"Greenhouse; Thermal energy storage; Environmental science; Thermal; Energy (signal processing); Computer science; Geography; Ecology; Meteorology; Mathematics; Agronomy; Statistics","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":[0.00009670626,0.0001100036,0.0002803028,0.00006466517,0.00009152956,0.0000154533,0.0001459236,0.0001333925,0.00002682267],"category_scores_gemma":[0.00001272292,0.00005404811,0.00005053805,0.0009466628,0.00005629387,0.00006888542,0.00005489273,0.00007201,8.656115e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001694731,"about_ca_system_score_gemma":0.000004728595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004561726,"about_ca_topic_score_gemma":0.02216497,"domain_scores_codex":[0.9992003,0.000196805,0.0002255569,0.0001490511,0.00008630537,0.0001420145],"domain_scores_gemma":[0.9996294,0.00008882647,0.0001029786,0.00005782157,0.00006751251,0.00005349321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007589087,0.0001063388,0.1446518,0.00002028757,0.0006770978,0.00002232225,0.00220293,0.009996136,0.7505379,0.006249231,0.000008876605,0.08476824],"study_design_scores_gemma":[0.002039266,0.002867519,0.3867449,0.0001641717,0.001004483,0.00002287154,0.02813897,0.5474405,0.02838327,0.0001775698,0.00176948,0.001247006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909137,0.0001070183,0.008318984,0.0004038351,0.00001375562,0.00005708864,0.00002178671,0.0001298154,0.00003396275],"genre_scores_gemma":[0.9996392,0.00001975176,0.00009407077,0.000156823,0.00001368583,0.00001527927,0.00005542448,0.00000154863,0.000004292248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7221546,"threshold_uncertainty_score":0.9956779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907926445110323,"score_gpt":0.1859377459402753,"score_spread":0.1668584814891721,"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."}}