{"id":"W6947885334","doi":"10.4224/20378630","title":"Thermal properties of wood, gypsum and insulation at elevated temperatures","year":2001,"lang":"en","type":"report","venue":"NPARC","topic":"Research Data Management Practices","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FPInnovations","keywords":"Gypsum; Thermal; Thermal insulation; Thermal mass; Thermal resistance; Thermal bridge; Thermal transmittance; Matrix (chemical analysis)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285662,0.0001984433,0.000278963,0.000265806,0.0001134214,0.0009054408,0.001273685,0.0001320182,0.00005704948],"category_scores_gemma":[0.0006672175,0.0001507972,0.00004208622,0.000317755,0.0001030527,0.005811765,0.001667631,0.0003441322,0.000009353196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116907,"about_ca_system_score_gemma":0.0003527323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002868029,"about_ca_topic_score_gemma":0.00004500853,"domain_scores_codex":[0.9972259,0.0001791183,0.0003437243,0.0005299289,0.001444209,0.0002770803],"domain_scores_gemma":[0.998118,0.00006715392,0.0003675125,0.0009911075,0.0003872357,0.00006893039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001470674,0.0002639956,0.006151815,0.00181772,0.0005593898,0.0002346071,0.0004260771,0.00004590912,0.9264516,0.01125619,0.02600181,0.02664378],"study_design_scores_gemma":[0.0008772614,0.0003738509,0.04617727,0.0009366745,0.0001075508,0.0001333288,0.00005033054,0.00552973,0.05686014,0.000643819,0.8872851,0.001024969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.713641,0.003809861,0.00196996,0.002480713,0.0008759766,0.001611263,0.00003967579,0.0002869998,0.2752845],"genre_scores_gemma":[0.9546273,0.009481986,0.002771264,0.00005096931,0.0001401808,0.00004552779,0.00008204009,0.00002783219,0.03277284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8695915,"threshold_uncertainty_score":0.8731186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055579579778531,"score_gpt":0.3276493647224358,"score_spread":0.2220914067445827,"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."}}