{"id":"W2921534554","doi":"10.1332/175795919x15694142999134","title":"A review and evaluation of the use of longitudinal approaches in business surveys","year":2019,"lang":"en","type":"article","venue":"Longitudinal and Life Course Studies","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Relevance (law); Longitudinal data; Interpretation (philosophy); Sample (material); Longitudinal study; Sample size determination; Business development","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03458171,0.0001091749,0.0004822608,0.00005159546,0.0001464681,0.000008291514,0.00009946639,0.0000610045,0.00002458523],"category_scores_gemma":[0.01394656,0.0000725165,0.00004219238,0.0005223564,0.0009027874,0.0001617166,0.000115141,0.00009386466,8.374546e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001531043,"about_ca_system_score_gemma":0.000203028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012452,"about_ca_topic_score_gemma":0.004126507,"domain_scores_codex":[0.9879944,0.01097757,0.0002934781,0.0002323329,0.000337411,0.0001647914],"domain_scores_gemma":[0.9947589,0.004318226,0.0001985193,0.0001646063,0.0005245236,0.00003524068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001341537,0.00006204682,0.9929902,0.0004575284,0.0001427495,4.137196e-7,0.002293458,0.00002553805,0.000004788911,0.0006389936,0.0002179118,0.0030322],"study_design_scores_gemma":[0.0003051354,0.00002691617,0.9962698,0.0006003322,0.0003489625,0.000001512976,0.001853829,0.00001773848,0.000006338456,0.0001742304,0.0003147762,0.00008046335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8591436,0.1379021,0.000008056003,0.002157763,0.0001732174,0.0004714797,0.000007613339,0.00000413724,0.0001320315],"genre_scores_gemma":[0.9698527,0.02980143,0.0001007363,0.00006196294,0.00002657281,0.00002081691,8.258835e-7,0.000003908308,0.0001310337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1107091,"threshold_uncertainty_score":0.9943594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6721262153705628,"score_gpt":0.4838837145556907,"score_spread":0.1882425008148721,"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."}}