{"id":"W2030605340","doi":"10.1111/cdep.12043","title":"Planned Missing Data Designs for Developmental Researchers","year":2013,"lang":"en","type":"article","venue":"Child Development Perspectives","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":292,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Kansas; National Science Foundation","keywords":"Missing data; Data collection; Research design; Longitudinal data; Psychology; Computer science; Statistics; Data mining; Econometrics; Machine learning; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008377778,0.0002359357,0.0002923412,0.0001244597,0.0004896231,0.000200349,0.0006577668,0.00008345112,0.0007475874],"category_scores_gemma":[0.004664945,0.0001990088,0.00003551918,0.0001798125,0.0001532886,0.0003396622,0.000290572,0.000193358,0.00009061241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283618,"about_ca_system_score_gemma":0.0003564198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000111624,"about_ca_topic_score_gemma":0.000009306943,"domain_scores_codex":[0.9980134,0.0001127351,0.0003835523,0.0006343753,0.000333196,0.0005227196],"domain_scores_gemma":[0.9974642,0.001628652,0.00009274344,0.0004015898,0.0002048582,0.0002079352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002220362,0.0008646316,0.001859541,0.000482579,0.0006186779,0.00001614567,0.03618083,1.895338e-7,0.001451698,0.4764062,0.06419371,0.4177037],"study_design_scores_gemma":[0.001701293,0.0001723558,0.03556401,0.0005424463,0.00004466086,0.00004824063,0.03103351,0.0009012371,0.006786084,0.9062281,0.01573874,0.001239295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004329252,0.0001848978,0.9768354,0.001732742,0.00008688988,0.001137813,0.00005113593,0.0001366103,0.01550522],"genre_scores_gemma":[0.0294392,0.00001211364,0.9696923,0.00009428203,0.00008727988,0.0001513138,0.0000496873,0.00003752662,0.0004363029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4298219,"threshold_uncertainty_score":0.8185558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3455343248455911,"score_gpt":0.4424078329821734,"score_spread":0.0968735081365823,"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."}}