{"id":"W45936924","doi":"10.7748/nr2010.01.17.2.74.c7464","title":"Using social exchange theory to guide successful study recruitment and retention","year":2010,"lang":"en","type":"article","venue":"Nurse Researcher","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Attrition; Social exchange theory; Limiting; Context (archaeology); Psychology; Social psychology; Selection (genetic algorithm); Power (physics); Applied psychology; Computer science; Medicine; Artificial intelligence","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3551557,0.00168935,0.001817019,0.005263259,0.008829176,0.006322667,0.005524235,0.00408811,0.009283105],"category_scores_gemma":[0.3622041,0.002227445,0.001568273,0.003302521,0.005013984,0.008435315,0.01063978,0.006709718,0.006222463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005229911,"about_ca_system_score_gemma":0.0355185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002401887,"about_ca_topic_score_gemma":0.006738192,"domain_scores_codex":[0.7454484,0.2240028,0.008817913,0.003989861,0.01396467,0.003776379],"domain_scores_gemma":[0.796912,0.1371266,0.01168182,0.0169996,0.03074982,0.00653021],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001046737,0.003917171,0.01839016,0.003298188,0.0002057618,0.001214559,0.1721355,0.00469886,0.004119068,0.04842212,0.04661572,0.6959363],"study_design_scores_gemma":[0.006565467,0.01142609,0.0301784,0.009076884,0.0004168499,0.001448998,0.1157739,0.07325633,0.01461547,0.4400152,0.2962349,0.0009915421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04750947,0.0006227713,0.6192893,0.016588,0.0009246069,0.2954358,0.0004332713,0.001000952,0.01819592],"genre_scores_gemma":[0.06495181,0.0005932155,0.5785431,0.003209279,0.0002619296,0.348567,0.000205029,0.0001149195,0.003553726],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6448443,"threshold_uncertainty_score":0.7952079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1560100359120876,"score_gpt":0.4579964099045047,"score_spread":0.3019863739924171,"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."}}