{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003848305,0.0001333269,0.0004453788,0.00007438637,0.00006979452,0.00001487769,0.0002201424,0.0001699968,0.0001362],"category_scores_gemma":[0.001159979,0.0001049724,0.00003648147,0.0002117856,0.00009932721,0.0001166295,0.00003054952,0.0009894302,0.0000127777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003912389,"about_ca_system_score_gemma":0.001527707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002660086,"about_ca_topic_score_gemma":0.00003389442,"domain_scores_codex":[0.9974729,0.0001452731,0.0008646362,0.0001302296,0.0009003039,0.0004866033],"domain_scores_gemma":[0.9977305,0.0001133675,0.000238166,0.0001630698,0.0002285734,0.001526352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007829309,0.0008499302,0.4788522,0.001545475,0.0003819848,0.0003844153,0.01177666,0.01409745,0.00003483965,0.000184115,0.2098654,0.2812446],"study_design_scores_gemma":[0.02115466,0.007066321,0.5553202,0.003551275,0.00008847997,0.006436347,0.005503145,0.3464394,0.0004516421,0.0006154252,0.05156953,0.001803617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069555,0.0005155314,0.08526581,0.002716697,0.001561528,0.0002210374,0.0000063801,0.0001810938,0.002576394],"genre_scores_gemma":[0.9833659,0.0002817612,0.01471882,0.0004148724,0.001090434,0.000009844121,0.00000673289,0.00003999411,0.00007166452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3323419,"threshold_uncertainty_score":0.4298637,"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."}}