{"id":"W6926565122","doi":"10.25384/sage.c.4189487","title":"Using Bifactor Exploratory Structural Equation Modeling to Test for a Continuum Structure of Motivation","year":2016,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Variance (accounting); Confirmatory factor analysis; Exploratory factor analysis; Autonomy; Explained variation; Measure (data warehouse)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002447541,0.0002515763,0.0005355258,0.0003541505,0.00005241847,0.00003688801,0.000317552,0.000266528,0.00364457],"category_scores_gemma":[0.001764657,0.0001596941,0.00007198852,0.0001303651,0.00002012707,0.0002141629,0.0001382819,0.0001976757,0.000004981581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006776358,"about_ca_system_score_gemma":0.0001400623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004729437,"about_ca_topic_score_gemma":0.00008183067,"domain_scores_codex":[0.9985824,0.00003557331,0.0004766255,0.0004082291,0.0002743642,0.0002228198],"domain_scores_gemma":[0.9982667,0.0001007958,0.0005636616,0.000730233,0.000227722,0.0001108964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008424589,0.00001743732,0.0001171767,0.0002791128,0.0001326043,0.000001755517,0.00005204232,0.000007706251,0.9381016,5.973865e-7,0.04253613,0.01866955],"study_design_scores_gemma":[0.01052064,0.001271983,0.0005334994,0.1023533,0.004152293,0.0002798153,0.0006497501,0.04115145,0.6451265,0.001572337,0.1887771,0.003611281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2961414,0.06337201,0.3676951,0.009024341,0.009097943,0.01785425,0.2339986,0.0005725159,0.002243773],"genre_scores_gemma":[0.8654081,0.002423176,0.07243393,0.0007187503,0.01285064,0.000002356838,0.002831713,0.001076866,0.04225451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5692666,"threshold_uncertainty_score":0.9972662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1499251038232577,"score_gpt":0.3537857062650601,"score_spread":0.2038606024418024,"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."}}