{"id":"W4256291931","doi":"10.36503/chcmj4(2)-03","title":"Clinical Profile of Young Women with CAD","year":2015,"lang":"en","type":"article","venue":"Chettinad Health City Medical Journal","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"CAD; Medicine; Engineering drawing; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000127441,0.0001110591,0.000221133,0.0004787756,0.0004391085,0.0003450173,0.0001244312,0.0003204241,0.00432491],"category_scores_gemma":[0.0008945859,0.0001109839,0.0001827341,0.0006257425,0.0001337427,0.0002775794,0.0002010327,0.000449637,0.0005788521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134264,"about_ca_system_score_gemma":0.000210977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663501,"about_ca_topic_score_gemma":0.002325855,"domain_scores_codex":[0.9998854,0.00001847324,0.00001413187,0.00001969334,0.00003088132,0.00003127661],"domain_scores_gemma":[0.9997209,0.00004632306,0.0001033406,0.00000705413,0.00003699775,0.0000855091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007638014,0.00006343669,0.9941427,0.00003098839,0.00001149058,0.001383504,0.0001454633,0.00002846257,0.0002447876,0.00003413557,0.0005296481,0.003309097],"study_design_scores_gemma":[0.000005792613,0.0002632816,0.9897574,0.00004683699,0.00002264629,0.00735703,0.001061869,0.00007605032,0.00005047333,0.0000893007,0.001261377,0.000007812033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893038,0.002431282,0.0001497904,0.0006258646,0.0000492146,0.0000364192,0.001071375,0.000007506072,0.006324712],"genre_scores_gemma":[0.9967225,0.001246915,0.0001119564,0.0002270245,0.00004275956,0.00003056301,0.0004176344,0.000001619064,0.001198958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00432491,"threshold_uncertainty_score":0.01446825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065641105227917,"score_gpt":0.327719484987412,"score_spread":0.2970630739351328,"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."}}