{"id":"W1571628133","doi":"","title":"Recruiting hard-to-reach populations to physical activity studies: evidence and experiences","year":2010,"lang":"en","type":"article","venue":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Canadian Institutes of Health Research; National Heart Foundation of Australia; Michael Smith Health Research BC; Medical Research Council; Public Health Agency; National Institutes of Health; Public Health Agency of Canada; Queensland Health","keywords":"Representativeness heuristic; Plea; Population; Psychology; Promotion (chess); Ethnic group; Health promotion; Medical education; Applied psychology; Public health; Public relations; Gerontology; Medicine; Social psychology; Environmental health; Political science; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2621234,0.0005667055,0.002135593,0.001601076,0.005113955,0.009513571,0.00353574,0.005954766,0.003320795],"category_scores_gemma":[0.3441405,0.001603423,0.001493503,0.003356247,0.006989411,0.009673432,0.01228187,0.004602786,0.0009440977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002704986,"about_ca_system_score_gemma":0.009660088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305885,"about_ca_topic_score_gemma":0.00603392,"domain_scores_codex":[0.7659957,0.1988941,0.01233498,0.003307009,0.0152337,0.004234423],"domain_scores_gemma":[0.5361816,0.4082376,0.01279628,0.0105582,0.02234735,0.009878977],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009545109,0.002012982,0.02621274,0.02381822,0.0004405578,0.002410833,0.4354734,0.0003215456,0.001100275,0.004576803,0.02266116,0.4800169],"study_design_scores_gemma":[0.0006753749,0.00887858,0.0312068,0.06115752,0.0006850204,0.00447226,0.5622659,0.0004243549,0.003170453,0.007338859,0.319341,0.0003839609],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6606201,0.1477989,0.01266632,0.127776,0.002737545,0.003648318,0.0003858076,0.0001987393,0.04416821],"genre_scores_gemma":[0.7415947,0.1534483,0.03365133,0.06024249,0.001579152,0.003805817,0.0002875504,0.0003512109,0.005039459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7378766,"threshold_uncertainty_score":0.9099332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631690408808797,"score_gpt":0.4119242113679533,"score_spread":0.2487551704870736,"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."}}