{"id":"W4402862906","doi":"10.3390/app14198640","title":"Application of Thermal Batteries in Greenhouses","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Architectural engineering; Environmental science; Engineering","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":[0.0003435683,0.0003711179,0.0004314657,0.0005300478,0.000366193,0.0008360935,0.0007110528,0.0006322926,0.003269623],"category_scores_gemma":[0.0005109471,0.0002120414,0.0004598119,0.0006999749,0.0002404688,0.001228849,0.0005327021,0.0003851185,0.001294923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003478212,"about_ca_system_score_gemma":0.000308113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004735949,"about_ca_topic_score_gemma":0.0007895198,"domain_scores_codex":[0.999723,0.00004918948,0.00002219176,0.00005134861,0.0001222258,0.00003202939],"domain_scores_gemma":[0.9998355,0.00004945042,0.00001462396,0.00002257503,0.00006641026,0.00001141625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006597269,0.0001911469,0.004291731,0.007148995,0.0001864616,0.00294787,0.0006753358,0.01307752,0.4366976,0.02566441,0.01727707,0.4911821],"study_design_scores_gemma":[0.00007398186,0.0009134195,0.002442883,0.0007318682,0.0002210676,0.002620745,0.0005766774,0.01807266,0.5598181,0.008953946,0.4054758,0.00009879977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3004988,0.2151824,0.2821936,0.003436149,0.006595974,0.0008060993,0.001523227,0.003780317,0.1859834],"genre_scores_gemma":[0.8915485,0.0457519,0.03516024,0.0004951655,0.0003142772,0.0002046633,0.0003825091,0.0001287088,0.026014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003269623,"threshold_uncertainty_score":0.01093793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474942403402014,"score_gpt":0.224091141481981,"score_spread":0.2093417174479608,"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."}}