{"id":"W7096799702","doi":"","title":"Implementation Science BioMed Central","year":2009,"lang":"en","type":"article","venue":"","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Data collection; Work (physics); Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005673081,0.00004775168,0.00005935216,0.0001170178,0.00122332,0.00001861746,0.00008088641,0.00004057509,0.001335729],"category_scores_gemma":[0.00005986502,0.00003881128,0.00001129943,0.0005180516,0.0000307394,0.0002571413,0.00001137188,0.0001091212,0.0001281058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634452,"about_ca_system_score_gemma":0.0007443298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000261519,"about_ca_topic_score_gemma":0.0001434988,"domain_scores_codex":[0.9989323,0.00007273471,0.0002639841,0.0001482408,0.0001732298,0.0004094843],"domain_scores_gemma":[0.9994406,0.00002569062,0.00004685566,0.0001277248,0.0002204979,0.0001386192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004578806,0.0001920631,0.1502366,0.00005240974,0.000008061989,0.000003161442,0.01682826,0.0008063142,0.03852692,0.4650897,0.02171543,0.3064953],"study_design_scores_gemma":[0.001586344,0.0002807592,0.9387847,0.00004400086,0.000008447597,0.000001395738,0.01210014,0.02512307,0.00201007,0.001917489,0.01783965,0.0003039717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8398897,0.00001989143,0.07250533,0.03309464,0.001177531,0.00127226,0.000007959308,0.0002850612,0.0517476],"genre_scores_gemma":[0.974779,0.00001381748,0.02069961,0.003603482,0.0001272165,0.00001313599,0.00002426683,0.000003104456,0.0007363639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7885481,"threshold_uncertainty_score":0.9995772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09181434052977769,"score_gpt":0.5574897250165288,"score_spread":0.4656753844867512,"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."}}