{"id":"W2739465416","doi":"10.1097/01.hjr.0000296928.40040.b0","title":"Foreword","year":2007,"lang":"en","type":"article","venue":"European Journal of Cardiovascular Prevention & Rehabilitation","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Association of Cardiovascular Prevention and Rehabilitation","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03673196,0.0002040075,0.0004616375,0.0006057427,0.0001058111,0.00004223646,0.0003193889,0.00003854881,0.00007243222],"category_scores_gemma":[0.001856337,0.0001934851,0.002696435,0.0006101151,0.0001194808,0.0007755419,0.00004656698,0.0003360983,0.0006093382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311183,"about_ca_system_score_gemma":0.00006169824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001625328,"about_ca_topic_score_gemma":0.000001737633,"domain_scores_codex":[0.9936702,0.002976448,0.001421333,0.0002520466,0.001361493,0.0003185219],"domain_scores_gemma":[0.9970474,0.0002961071,0.0007642641,0.0005826047,0.00110649,0.0002031427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006540795,0.0004068346,0.001745295,0.0001250771,0.003204175,0.0003631692,0.002434652,0.01040432,0.004899931,0.001143699,0.003447698,0.9711711],"study_design_scores_gemma":[0.008363279,0.004410052,0.4531029,0.0006251342,0.001697166,0.001052166,0.00230036,0.00008450004,0.001380489,0.003316807,0.5230151,0.0006520252],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5572695,0.003164564,0.4322115,0.00006652631,0.0006332201,0.0003191966,0.000003534475,0.00006617782,0.006265717],"genre_scores_gemma":[0.9608513,0.00002067652,0.03815072,0.00001574041,0.0006517014,0.000001183255,0.000006362168,0.0001077254,0.0001945584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9705191,"threshold_uncertainty_score":0.9918872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322423560773035,"score_gpt":0.2582138156802582,"score_spread":0.2449895800725279,"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."}}