{"id":"W2164239436","doi":"10.2174/1874447801206010011","title":"Evidence on the Comparison of Telephone and Internet Surveys for Respondent Recruitment","year":2012,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"The Internet; Data collection; Respondent; Survey data collection; Survey methodology; Empirical evidence; Business; Marketing; Computer science; Statistics; World Wide Web; Political science","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":[0.3385347,0.001138317,0.001688748,0.008379526,0.001416776,0.004805842,0.003559699,0.00347371,0.0197298],"category_scores_gemma":[0.6531495,0.001236351,0.002361091,0.01327827,0.003725853,0.00646465,0.004248505,0.002253946,0.005025752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004119807,"about_ca_system_score_gemma":0.004635653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003328905,"about_ca_topic_score_gemma":0.003570404,"domain_scores_codex":[0.3930135,0.5112678,0.02334246,0.009338219,0.06031246,0.002725485],"domain_scores_gemma":[0.1313833,0.7746604,0.03344546,0.02797089,0.03118324,0.0013567],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.004215553,0.001096693,0.1582992,0.02811867,0.002934421,0.0001533311,0.008862971,0.001372655,0.0009080057,0.02580982,0.01506581,0.753163],"study_design_scores_gemma":[0.00228813,0.01143377,0.6238739,0.07022084,0.003897756,0.002317167,0.02003004,0.009631475,0.005529969,0.02472005,0.2255236,0.0005332635],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4257903,0.1463573,0.1596119,0.03208633,0.005804143,0.01284951,0.008956256,0.0005749651,0.2079694],"genre_scores_gemma":[0.8342496,0.04309786,0.08994246,0.01013776,0.001374292,0.01077101,0.003956318,0.0003971416,0.006073509],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6614653,"threshold_uncertainty_score":0.8157045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7718417121634716,"score_gpt":0.5668666707742616,"score_spread":0.2049750413892101,"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."}}