{"id":"W2044544009","doi":"10.1007/s00184-010-0330-8","title":"On the detectability of different forms of interaction in regression models","year":2010,"lang":"en","type":"article","venue":"Metrika","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Mathematics; Pairwise comparison; Contrast (vision); Context (archaeology); Regression; Regression analysis; Interaction; Statistics; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006260001,0.00006265333,0.0001860313,0.00007755281,0.00001289032,0.000003335121,0.0001040847,0.00004877225,0.0001605015],"category_scores_gemma":[0.00649945,0.00002922385,0.00004198955,0.0001569345,0.00004682736,0.00002950067,0.00003301971,0.0002270468,7.748455e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001349399,"about_ca_system_score_gemma":0.000007751544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002257672,"about_ca_topic_score_gemma":0.00003854667,"domain_scores_codex":[0.9993118,0.00009734357,0.0002746839,0.00008772749,0.0001539347,0.00007453213],"domain_scores_gemma":[0.9952056,0.004321543,0.0001322219,0.0002711407,0.00005089419,0.00001853405],"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":[0.00008420945,0.0003088372,0.001116477,0.00008887486,0.000006096603,1.976006e-7,0.0002857089,0.00000288917,0.03147098,0.9056693,0.00002792536,0.06093855],"study_design_scores_gemma":[0.0001061151,0.00009139023,0.003884885,0.0000612536,0.000004614437,2.163587e-7,0.00005156518,0.007316553,0.1683902,0.8200611,0.000002684777,0.00002944868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384274,0.000003021063,0.05941874,0.00004095992,0.0001018292,0.000131315,0.000005569833,0.000004925624,0.001866211],"genre_scores_gemma":[0.9799995,0.000002489743,0.01996156,0.000006851365,0.00000569345,0.000009097159,2.309829e-7,0.000004245146,0.00001031326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369192,"threshold_uncertainty_score":0.7780918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198718743160599,"score_gpt":0.4006502178698499,"score_spread":0.2807783435537901,"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."}}