{"id":"W1521696154","doi":"10.1002/9780470970751.ch9","title":"Recent Advances in TES Methods, Technologies, and Applications","year":2010,"lang":"en","type":"other","venue":"","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Macro; Computer science; Systems engineering; Data 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":[0.0007295259,0.0005255285,0.0005429765,0.001681223,0.0003809537,0.001338611,0.0007825744,0.0005413897,0.01549897],"category_scores_gemma":[0.0008789385,0.0003569446,0.0005237946,0.002392554,0.0003334243,0.002017103,0.0007315066,0.0008204975,0.004926445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005827947,"about_ca_system_score_gemma":0.0005337333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007026694,"about_ca_topic_score_gemma":0.001304074,"domain_scores_codex":[0.9995819,0.00004514035,0.00002660039,0.00006438182,0.0002509265,0.00003109904],"domain_scores_gemma":[0.9995055,0.0001806232,0.00003671578,0.00004637983,0.0002079736,0.00002282859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000204791,0.0001600643,0.00096397,0.005488899,0.00005745502,0.0002211841,0.0002008934,0.002681569,0.09242484,0.02425264,0.03053294,0.8428108],"study_design_scores_gemma":[0.000009480029,0.0001236194,0.001150396,0.0003502857,0.0000595407,0.0008743721,0.000150681,0.003211085,0.08784866,0.003570411,0.9026196,0.0000319123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02922638,0.6514335,0.08846214,0.002436925,0.003264409,0.0001614276,0.001243053,0.001637857,0.2221343],"genre_scores_gemma":[0.08220526,0.6907654,0.08776785,0.001099118,0.002444438,0.0002320842,0.002275815,0.0005816496,0.1326284],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01549897,"threshold_uncertainty_score":0.05184919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556216894643955,"score_gpt":0.2999096486044232,"score_spread":0.2843474796579836,"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."}}