{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680153,0.0009050869,0.0009149798,0.00137701,0.002328758,0.003676799,0.001417439,0.006477418,0.2003539],"category_scores_gemma":[0.01198579,0.0002995315,0.000880571,0.000626943,0.0007957925,0.002280778,0.002248771,0.007251462,0.2036315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633171,"about_ca_system_score_gemma":0.003185245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003050138,"about_ca_topic_score_gemma":0.005850857,"domain_scores_codex":[0.9987305,0.0001615962,0.00009296485,0.0001691186,0.000667436,0.0001784017],"domain_scores_gemma":[0.9936295,0.001060968,0.0002765172,0.0003370531,0.003442718,0.001253204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009280177,0.000005634877,0.00002332024,0.00003226767,0.000001248068,0.00003518887,0.000006505961,0.000004051975,0.00003668358,0.0006378551,0.9884772,0.01073068],"study_design_scores_gemma":[0.000006009244,0.000009110095,0.0001276988,0.00009662525,0.000003348277,0.00009273679,0.00002335817,0.000009516972,0.00005638144,0.0008596836,0.9987119,0.000003611102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002859707,0.01002607,0.0007007528,0.2069311,0.6363037,0.0001680635,0.0007078379,0.0003444227,0.1445321],"genre_scores_gemma":[0.002134145,0.004566315,0.0005085229,0.1786594,0.1400889,0.0001761199,0.0005679476,0.000266798,0.6730317],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2003539,"threshold_uncertainty_score":0,"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."}}