{"id":"W3121880052","doi":"","title":"Self-Regulatory Strength Amplification through Selective Information Processing","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pleasure; Self-control; Consumption (sociology); Psychology; Control (management); Focus (optics); Regulatory focus theory; Information processing; Social psychology; Cognitive psychology; Computer science; Artificial intelligence","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":[0.001238592,0.0003841709,0.0002364668,0.0003602205,0.0002309923,0.0008760176,0.0006257819,0.0004708767,0.002881133],"category_scores_gemma":[0.004281694,0.0002784124,0.0003783015,0.0001799105,0.001428834,0.001189681,0.00115208,0.0007557573,0.0002416626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614547,"about_ca_system_score_gemma":0.000375894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002179543,"about_ca_topic_score_gemma":0.0002072134,"domain_scores_codex":[0.9993777,0.0001958826,0.0000288837,0.0001698849,0.0001576588,0.00006997569],"domain_scores_gemma":[0.9971209,0.00161378,0.0004958344,0.0004821156,0.0001411816,0.0001462061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002368676,0.002747101,0.03084705,0.0009712092,0.0003668839,0.0008173489,0.003301307,0.01214171,0.4178596,0.1364563,0.001552869,0.39057],"study_design_scores_gemma":[0.001881998,0.01184789,0.1661078,0.0003117902,0.001083995,0.003097583,0.001144499,0.1489437,0.2527022,0.3924722,0.02008588,0.0003205239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8742093,0.0004496287,0.09770522,0.001560892,0.00005540999,0.0002286854,0.00005411429,0.0001898054,0.02554701],"genre_scores_gemma":[0.9786842,0.000150105,0.01995398,0.0002425098,0.00002633043,0.0001257127,0.00001808316,0.00001255797,0.000786514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002881133,"threshold_uncertainty_score":0.009638369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016293416210035,"score_gpt":0.3436246107321829,"score_spread":0.3273311945221479,"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."}}