{"id":"W4240213748","doi":"10.7326/acpjc-2006-145-3-a08","title":"Of studies, syntheses, synopses, summaries, and systems: the “5S” evolution of information services for evidence-based health care decisions","year":2006,"lang":"en","type":"article","venue":"ACP Journal Club","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Health care; MEDLINE; Data science; Information retrieval; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005536602,0.0001916225,0.00068947,0.0002523938,0.00161165,0.00002864453,0.0003212072,0.0001864173,0.000004677348],"category_scores_gemma":[0.001836214,0.0001244247,0.00009507467,0.0003437707,0.0001042605,0.0006503721,0.00007258827,0.0005857891,0.00000370695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654238,"about_ca_system_score_gemma":0.004391747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131141,"about_ca_topic_score_gemma":0.006786895,"domain_scores_codex":[0.9947475,0.001533619,0.002331276,0.0001519431,0.0005894618,0.0006462103],"domain_scores_gemma":[0.9856184,0.009180409,0.002685588,0.0003642317,0.002001109,0.0001502387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005861962,0.0005032653,0.3173815,0.2267633,0.001132823,0.000007522943,0.07644691,0.007552096,0.0007904052,0.1032409,0.172613,0.08770628],"study_design_scores_gemma":[0.005210891,0.004144317,0.03462759,0.1168497,0.0004583093,0.000143984,0.3232158,0.007342032,0.0001571824,0.003549665,0.5035038,0.0007967578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2421003,0.718637,0.01589521,0.01232277,0.003436573,0.006774624,0.0005012085,0.00008200308,0.0002503205],"genre_scores_gemma":[0.9945355,0.00369038,0.00065482,0.0004106782,0.000418336,0.0001983589,0.00002605267,0.00002009935,0.00004578143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7524352,"threshold_uncertainty_score":0.9996881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037159496203623,"score_gpt":0.4296700653538966,"score_spread":0.3259541157335343,"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."}}