{"id":"W2500142568","doi":"10.1002/9781118534892.app4","title":"Appendix D Psychometric Properties of Humid Air","year":2015,"lang":"en","type":"other","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Library science; Citation; Operations research; History; Engineering; Computer science","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":[0.008056434,0.001367896,0.001295832,0.003094478,0.001630463,0.002815387,0.001965,0.00166638,0.2826379],"category_scores_gemma":[0.1716333,0.0009811994,0.001800596,0.002771233,0.001151723,0.003841569,0.001926466,0.003017532,0.06426262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998841,"about_ca_system_score_gemma":0.002723964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01572226,"about_ca_topic_score_gemma":0.01690389,"domain_scores_codex":[0.9948639,0.001452634,0.001034105,0.0005195645,0.001847444,0.0002824594],"domain_scores_gemma":[0.8157097,0.1311124,0.008993477,0.01183339,0.02967663,0.002674499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002173154,0.002812343,0.1275457,0.000738878,0.0002869958,0.0001892133,0.001620212,0.003075026,0.0002722761,0.00881219,0.752643,0.09983107],"study_design_scores_gemma":[0.002416298,0.001185536,0.6907825,0.001646572,0.0002371056,0.0006763709,0.004285323,0.004770434,0.001050175,0.02948412,0.2630003,0.0004653488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.2434648,0.00140037,0.02249828,0.004078534,0.002737744,0.01596756,0.5154483,0.002257969,0.1921465],"genre_scores_gemma":[0.5006202,0.001276715,0.03501685,0.003401723,0.0005878726,0.06379622,0.2812942,0.001739181,0.112267],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2826379,"threshold_uncertainty_score":0.9455178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796615802366584,"score_gpt":0.2003830869405657,"score_spread":0.1824169289168999,"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."}}