{"id":"W7097586333","doi":"","title":"CROSS-SECTIONAL INFERENCE BASED ON","year":2016,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Sample (material); Inference; Estimation; Population; Population variance; Covariance; Analysis of covariance; Sample size determination","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05061527,0.001080408,0.002887984,0.003755535,0.001468464,0.003751094,0.003972637,0.002229552,0.01718795],"category_scores_gemma":[0.1838547,0.001331729,0.003752801,0.004441473,0.004019965,0.007781114,0.003805924,0.005678329,0.002391548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737149,"about_ca_system_score_gemma":0.002260587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006661111,"about_ca_topic_score_gemma":0.005479984,"domain_scores_codex":[0.968389,0.02035694,0.001420748,0.00630433,0.002730505,0.0007984444],"domain_scores_gemma":[0.8310788,0.1348596,0.009044778,0.01953982,0.004679862,0.0007972235],"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":[0.000172996,0.0001637821,0.03429653,0.000508159,0.001364476,0.0004345928,0.0007867436,0.03629016,0.0003320393,0.8242233,0.005916502,0.09551077],"study_design_scores_gemma":[0.00008821629,0.0001677079,0.00826033,0.0004332702,0.0003963569,0.0004134549,0.0003331495,0.1846615,0.0007141656,0.7860276,0.0184319,0.00007242881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008766874,0.0008908439,0.9827151,0.000884069,0.000323188,0.000170851,0.0005766721,0.0002295859,0.005442803],"genre_scores_gemma":[0.5088874,0.003258901,0.465007,0.002417271,0.001364451,0.001644451,0.00350089,0.0002781542,0.01364142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05061527,"threshold_uncertainty_score":0.2676823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145738714813438,"score_gpt":0.437684423632466,"score_spread":0.3231105521511222,"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."}}