{"id":"W2269325334","doi":"10.1017/cbo9781139022422.020","title":"Structural equation modeling and the analysis of long-term monitoring data","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Term (time); Structural equation modeling; Computer science; Econometrics; Mathematics; Physics; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0004138511,0.0001730493,0.0004404613,0.00008135739,0.0002092428,0.00002624744,0.0005849774,0.0001722134,0.00003980768],"category_scores_gemma":[0.00002566655,0.0001344424,0.0001722955,0.00003074762,0.0004201161,0.0001802639,0.00131752,0.0001788086,0.000001876066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019672,"about_ca_system_score_gemma":0.000007219804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207981,"about_ca_topic_score_gemma":0.00004582974,"domain_scores_codex":[0.9988804,0.00007340221,0.0002168481,0.0003896152,0.0002624568,0.0001772652],"domain_scores_gemma":[0.9987956,0.000123963,0.0002343856,0.0007371701,0.00002695471,0.00008187001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001478071,0.00007528534,0.3354313,0.0007644385,0.01856083,0.0001738226,0.003325872,0.1220518,0.0001224138,0.4487667,0.0003647553,0.06888472],"study_design_scores_gemma":[0.001677784,0.0000412296,0.08973102,0.0001049134,0.02628866,0.000006847355,0.0007581913,0.8753359,0.00003123962,0.00006883981,0.004819522,0.001135865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6075217,0.0004916891,0.003345057,0.00001881383,0.0001160066,0.0006292637,0.0001798558,0.00003959523,0.387658],"genre_scores_gemma":[0.828845,0.00007308122,0.00002740323,0.000003399172,0.00003954439,3.649089e-7,0.000063711,0.000006760585,0.1709408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7532842,"threshold_uncertainty_score":0.5482402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0634309666716556,"score_gpt":0.2302395088772907,"score_spread":0.1668085422056352,"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."}}