{"id":"W7001131995","doi":"","title":"How much air is too much? The National Research Council of Canada studies roof system air intrusion","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Data Analysis with R","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intrusion; Roof; Research council; Air movement; Measure (data warehouse)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00494215,0.0004502578,0.0009436166,0.002642977,0.003379576,0.0043094,0.001268308,0.0009014866,0.00276512],"category_scores_gemma":[0.01820109,0.0003957123,0.00042183,0.009643957,0.0033811,0.002189139,0.001294826,0.001918965,0.0006158378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02532767,"about_ca_system_score_gemma":0.04585486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9659414,"about_ca_topic_score_gemma":0.9808883,"domain_scores_codex":[0.9925373,0.0009137809,0.0001926711,0.0005282369,0.005006163,0.0008219524],"domain_scores_gemma":[0.9723981,0.005695608,0.002950059,0.001300171,0.01586716,0.001788899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007244662,0.0005806097,0.4292397,0.001188033,0.0004154028,0.0003662642,0.007175562,0.003489946,0.006243974,0.01859504,0.1309288,0.4010523],"study_design_scores_gemma":[0.00007053373,0.0003470071,0.7206235,0.0004906371,0.0002412411,0.0001972561,0.01713204,0.004665426,0.007373618,0.006399377,0.2422237,0.000235697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6655992,0.05431332,0.01954513,0.06983896,0.001018252,0.0005817841,0.01499879,0.0007153954,0.1733892],"genre_scores_gemma":[0.9226907,0.03098463,0.01401344,0.00512612,0.0001732896,0.0001273213,0.003864595,0.0002336056,0.02278649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03405857,"threshold_uncertainty_score":0.1837659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000332885069316,"score_gpt":0.3080810430828732,"score_spread":0.2080477545759416,"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."}}