{"id":"W3199050029","doi":"10.52547/jirss.20.1.347","title":"Conditional Dependence in Longitudinal Data Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of the Iranian Statistical Society","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Manitoba","funders":"","keywords":"Mathematics; Statistics; Longitudinal data; Econometrics; Applied mathematics; Computer science; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001425915,0.0001165487,0.0004472031,0.00002810842,0.00009467035,0.00006088059,0.000624131,0.00006030518,0.001226412],"category_scores_gemma":[0.007336269,0.0000768671,0.0002442525,0.000659314,0.0001864445,0.0001101592,0.0002646957,0.0005349587,0.000004157588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008324073,"about_ca_system_score_gemma":0.0002505671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001755965,"about_ca_topic_score_gemma":0.0001078532,"domain_scores_codex":[0.9978456,0.0003456062,0.0006848758,0.000221288,0.000680557,0.0002221061],"domain_scores_gemma":[0.9948797,0.003930523,0.0003002687,0.0004881238,0.0002777164,0.0001236388],"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":[0.00005996174,0.0006300381,0.1033086,0.0001320986,0.001595901,0.0004942401,0.0004183696,0.000109525,0.0003289116,0.8651696,0.02218482,0.00556798],"study_design_scores_gemma":[0.0004465231,0.0000262699,0.348318,0.00005046175,0.0007731969,0.0001372845,0.000219507,0.01089325,0.00006200892,0.6385949,0.0003582975,0.000120257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01489272,0.00007778434,0.9828516,0.0009400989,0.0001549183,0.00004528254,0.000759063,0.000004069288,0.0002744194],"genre_scores_gemma":[0.4232184,0.00001959029,0.5763921,0.0002093273,0.00008235237,5.724068e-7,0.0000112571,0.000006603538,0.000059858],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4083256,"threshold_uncertainty_score":0.9996866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866331863767045,"score_gpt":0.4289856358101445,"score_spread":0.24235244943344,"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."}}