{"id":"W7039939132","doi":"","title":"NRC-IRC research on Canadian wood-frame construction in China","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Chine; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005130217,0.00006149922,0.0001322359,0.0005370962,0.00007552025,0.000009196806,0.00006428749,0.00008427754,0.0008001201],"category_scores_gemma":[0.0001675408,0.0000552196,0.00003687408,0.0004374381,0.00007884308,0.00002635586,0.000007502584,0.0004285013,0.0001782926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746087,"about_ca_system_score_gemma":0.0002207032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09906325,"about_ca_topic_score_gemma":0.03048863,"domain_scores_codex":[0.9990501,0.00005890846,0.0001119317,0.0001739974,0.0003029768,0.0003021059],"domain_scores_gemma":[0.9994071,0.00002458321,0.00001457612,0.0002379266,0.00008731856,0.00022854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002338557,0.000324694,0.815063,0.00008225041,0.0001273688,0.0005330352,0.004289925,0.000007929331,0.01093071,0.01454552,0.00805207,0.1458096],"study_design_scores_gemma":[0.002340663,0.001068566,0.9291024,0.0007543341,0.00009198638,0.00009309555,0.004749774,0.001103766,0.02325972,0.01944911,0.01756737,0.0004192394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6669179,0.000009861906,0.00000294972,0.0008338438,0.00009942179,0.00005784765,0.000001508468,0.00001524859,0.3320614],"genre_scores_gemma":[0.9966547,0.00001781788,0.001648472,0.00006498206,0.0001976516,0.000009040486,0.000003024878,0.00001029267,0.001393959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3306675,"threshold_uncertainty_score":0.9872024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0862381474720398,"score_gpt":0.3453543286025947,"score_spread":0.2591161811305549,"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."}}