{"id":"W1537282891","doi":"10.20360/g2g59z","title":"Exquisite Attention: From Compliance to Production","year":2010,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pleasure; Mistake; Set (abstract data type); Productivity; Production (economics); Psychology; Compliance (psychology); Sociology; Social psychology; Aesthetics; Epistemology; Political science; Law; Computer science; Economics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005717936,0.00007503408,0.00005865216,0.00006178803,0.0001610221,0.0001557804,0.00006806743,0.00002012942,0.0003494878],"category_scores_gemma":[0.0003369142,0.0000677098,0.00001790532,0.0002620312,0.00004734881,0.0003762745,0.00003084899,0.0001302602,0.0002686714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003925541,"about_ca_system_score_gemma":0.000008744992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000313778,"about_ca_topic_score_gemma":0.000008952054,"domain_scores_codex":[0.9992336,0.0000244102,0.00009452432,0.0003984386,0.0001243669,0.0001246678],"domain_scores_gemma":[0.9995933,0.00005088895,0.00003601073,0.000188036,0.00004140591,0.00009036153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001254758,0.00003820493,0.001765948,0.000003105138,2.957814e-7,0.00000706277,0.001948151,8.409253e-8,0.9632311,0.0004113414,0.0002682201,0.03231398],"study_design_scores_gemma":[0.0003291155,0.00008808213,0.2767895,0.00005657939,0.000009982949,0.00008132309,0.0007444401,0.0001095988,0.6129048,0.000544957,0.1080223,0.0003192399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944184,0.00001899233,0.0001914593,0.001122946,0.002115193,0.0001489305,0.00001468801,0.00006606655,0.001903279],"genre_scores_gemma":[0.9864563,0.000004417948,0.0003568768,0.004581226,0.000540119,0.0000193164,0.000007320166,0.000006653318,0.008027818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3503262,"threshold_uncertainty_score":0.3826647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240651040128451,"score_gpt":0.3091048412662673,"score_spread":0.2850397372534222,"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."}}