{"id":"W2124160801","doi":"10.1097/hjr.0b013e3283386462","title":"The lexicon of ‘Cardiac Rehabilitation': is it time for an evolutionary new term?","year":2010,"lang":"en","type":"editorial","venue":"European Journal of Cardiovascular Prevention & Rehabilitation","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian VIGOUR Centre","funders":"","keywords":"Lexicon; Term (time); Rehabilitation; Linguistics; Computer science; Artificial intelligence; Biology; Neuroscience; Philosophy","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":[0.01462081,0.003972942,0.006279208,0.005538329,0.004323604,0.01581935,0.006309728,0.02990031,0.006696948],"category_scores_gemma":[0.0550497,0.001484634,0.002665778,0.003428081,0.008575762,0.0105672,0.003068313,0.04055111,0.00503755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00555385,"about_ca_system_score_gemma":0.009175031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005568409,"about_ca_topic_score_gemma":0.01582594,"domain_scores_codex":[0.9901739,0.003203759,0.001743246,0.0008255537,0.003425554,0.0006278589],"domain_scores_gemma":[0.9316579,0.04251999,0.00332589,0.001366674,0.01634678,0.004782851],"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":[0.00002956219,0.000009034558,0.00001816909,0.0003680838,0.00001868032,0.00006244812,0.00005010311,0.00001254038,0.00002095558,0.0005465196,0.9945797,0.004284206],"study_design_scores_gemma":[0.00009044247,0.00003605989,0.0002906869,0.001971161,0.0001127362,0.0003299618,0.000297375,0.000128581,0.00005681046,0.001918173,0.9947279,0.00004010857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002920622,0.0149004,0.0000983523,0.08413955,0.9001712,0.000006184546,0.00002421244,0.00002849542,0.0006024343],"genre_scores_gemma":[0.0004691847,0.008981381,0.0001255124,0.07596613,0.9121696,0.00002097183,0.00002422907,0.00003527754,0.002207773],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02990031,"threshold_uncertainty_score":0.07732314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358653230137073,"score_gpt":0.3195299378888821,"score_spread":0.3059434055875113,"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."}}