{"id":"W2264290776","doi":"10.3233/sji-150943","title":"From paper to EQ: Impact of introducing a new collection mode in a business survey","year":2015,"lang":"en","type":"article","venue":"Statistical Journal of the IAOS","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Earnings; Mode (computer interface); Survey methodology; Operations management; Business; Computer science; Process (computing); Plan (archaeology); Environmental economics; Operations research; Economics; Statistics; Engineering; Accounting; Geography; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2845154,0.001120328,0.001119506,0.00248598,0.00152043,0.006555163,0.002974608,0.00297678,0.009998233],"category_scores_gemma":[0.5636495,0.001309519,0.002305433,0.003710324,0.00196713,0.006341396,0.005246133,0.003365851,0.002060944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003821743,"about_ca_system_score_gemma":0.006100233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005149642,"about_ca_topic_score_gemma":0.003701896,"domain_scores_codex":[0.5199423,0.3941708,0.0301118,0.009448722,0.04256934,0.003756993],"domain_scores_gemma":[0.2324477,0.6664736,0.01822472,0.05009192,0.02907368,0.00368838],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01458012,0.009676636,0.1023811,0.003693639,0.0005103255,0.0004391153,0.009728756,0.003936692,0.004689776,0.004810522,0.01300189,0.8325515],"study_design_scores_gemma":[0.005815295,0.1121731,0.6686493,0.005718501,0.002009362,0.001245783,0.01619675,0.03572737,0.02659289,0.007308322,0.1175939,0.0009694913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8447893,0.001327584,0.06597169,0.01332064,0.002125296,0.03398966,0.002474908,0.0028583,0.03314262],"genre_scores_gemma":[0.7832797,0.0008508559,0.1790842,0.01083255,0.0008152787,0.01543369,0.001715373,0.0006440787,0.007344325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7154846,"threshold_uncertainty_score":0.8823199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2764966603116196,"score_gpt":0.4946701139896441,"score_spread":0.2181734536780245,"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."}}