{"id":"W2020565258","doi":"10.1080/02724990244000197","title":"Learned Irrelevance and Retrospective Correlation Learning","year":2003,"lang":"en","type":"article","venue":"The Quarterly Journal of Experimental Psychology Section B","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; McGill University","funders":"","keywords":"Correlation; Psychology; Artificial intelligence; Computer science; Mathematics","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":[0.0079357,0.0005595165,0.000693579,0.0008025729,0.000394291,0.001670304,0.001437194,0.001009647,0.00297245],"category_scores_gemma":[0.05008179,0.0007895695,0.0007343409,0.0006477883,0.004024767,0.003488642,0.001717453,0.002449692,0.0002600855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258211,"about_ca_system_score_gemma":0.0007201429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355894,"about_ca_topic_score_gemma":0.00112245,"domain_scores_codex":[0.9961953,0.001236959,0.0002190523,0.001036747,0.001078177,0.0002336521],"domain_scores_gemma":[0.9595892,0.02249523,0.00753939,0.007480282,0.002017688,0.0008783228],"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":[0.0008458149,0.0005533301,0.06108688,0.0003284522,0.0006577678,0.0004596064,0.001251005,0.04002228,0.01258749,0.7169675,0.001053795,0.1641862],"study_design_scores_gemma":[0.0001451254,0.0007181266,0.05147325,0.00007001207,0.000210956,0.0009275544,0.00008316732,0.09782235,0.01190294,0.8313031,0.005206715,0.0001366624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4077648,0.001835155,0.5705665,0.001550914,0.00007787548,0.0001044502,0.000111607,0.0003991586,0.01758943],"genre_scores_gemma":[0.968165,0.0007109673,0.02792863,0.0002879594,0.0001002472,0.0000761667,0.000145674,0.00005289263,0.002532408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0079357,"threshold_uncertainty_score":0.04196852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470149748553336,"score_gpt":0.3179489212369822,"score_spread":0.2932474237514488,"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."}}