{"id":"W4231767232","doi":"10.1007/978-1-4939-7131-2_100469","title":"Homogeneity Analysis","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Homogeneity (statistics); Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005977796,0.001084659,0.0007103274,0.001980032,0.0008354731,0.002249046,0.0007286508,0.0005982093,0.04194637],"category_scores_gemma":[0.001472201,0.0004295627,0.0007235038,0.001445062,0.001634543,0.002697175,0.001448453,0.00202415,0.02343558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106843,"about_ca_system_score_gemma":0.0006538841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105608,"about_ca_topic_score_gemma":0.001391794,"domain_scores_codex":[0.9995528,0.00009104745,0.00001844826,0.0001186594,0.000183457,0.00003550472],"domain_scores_gemma":[0.9995763,0.0001016272,0.00002477562,0.0001067356,0.0001589568,0.00003161021],"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":[0.00001564569,0.00001540125,0.00007813057,0.0001051019,0.00001590518,0.0000299767,0.0001186801,0.0007679364,0.001652469,0.8217828,0.08718326,0.08823463],"study_design_scores_gemma":[0.000003865939,0.00001034191,0.0002936083,0.00004483312,0.00001750584,0.0001221189,0.00007117379,0.003292333,0.00185329,0.7222861,0.2719891,0.00001568711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003757806,0.00625202,0.3183737,0.002620257,0.0018379,0.0000472244,0.0007481879,0.001118751,0.665244],"genre_scores_gemma":[0.08217297,0.007878208,0.09189983,0.001044616,0.003150894,0.0001247872,0.0017361,0.002600408,0.8093922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04194637,"threshold_uncertainty_score":0.1403247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06590848720974263,"score_gpt":0.3285159100972384,"score_spread":0.2626074228874957,"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."}}