{"id":"W2890368202","doi":"10.1111/mbe.12159","title":"IMBES Pre‐Conference: Using Insight From Research to Improve Education","year":2017,"lang":"en","type":"article","venue":"Mind Brain and Education","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Field (mathematics); Work (physics); Public relations; Engineering ethics; Sociology; Library science; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000393342,0.0001323803,0.0001031615,0.0002835154,0.001473966,0.0009381595,0.000332867,0.00007198158,0.0002317532],"category_scores_gemma":[0.003257237,0.0001288257,0.00002444133,0.0002512046,0.0002604139,0.0007178828,0.0001153391,0.0002051786,0.000134371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009091316,"about_ca_system_score_gemma":0.00146436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006476149,"about_ca_topic_score_gemma":0.00004220879,"domain_scores_codex":[0.9982767,0.0002074832,0.0001827193,0.0007081853,0.0003409954,0.0002839885],"domain_scores_gemma":[0.9986032,0.0002240933,0.000127984,0.0005083315,0.0002987197,0.0002377052],"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":[0.00002436707,0.0003075972,0.001210857,0.000007864703,8.674664e-7,2.193256e-7,0.003458625,3.537483e-7,0.6471699,0.0009684522,0.003677575,0.3431733],"study_design_scores_gemma":[0.0003184479,0.0002295496,0.1823448,0.0001727384,0.00001633056,0.00001798447,0.006297245,0.00054546,0.6355656,0.009468172,0.1645752,0.0004484061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751526,0.00003211357,0.0002346997,0.007211475,0.004187433,0.0005037216,0.00001270732,0.00001552651,0.01264972],"genre_scores_gemma":[0.9817947,0.00001923599,0.0004272365,0.002294412,0.0007656208,0.0001095776,0.000009959168,0.00001342033,0.0145659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3427249,"threshold_uncertainty_score":0.999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1450044117245566,"score_gpt":0.421147002639435,"score_spread":0.2761425909148785,"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."}}