{"id":"W2766534576","doi":"10.28945/3435","title":"Evidence Based Management for Learning: An Experiment","year":2016,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Mindset; Knowledge management; Computer science; Personal knowledge management; Subject (documents); Outcome (game theory); Subject matter; Learning environment; Organizational learning; Psychology; Mathematics education; Pedagogy; World Wide Web; Artificial intelligence; Curriculum","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003652,0.0001169162,0.00008027995,0.0003298953,0.0004906581,0.0007346043,0.0003863324,0.00002705696,0.0001880158],"category_scores_gemma":[0.0006395057,0.00008682836,0.00002049612,0.0003957307,0.000246188,0.005410099,0.00006972775,0.00003780251,0.00006458433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008380287,"about_ca_system_score_gemma":0.0005716191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005492632,"about_ca_topic_score_gemma":0.000006432494,"domain_scores_codex":[0.9988208,0.000003497772,0.0001927194,0.0003259543,0.0003931442,0.0002638642],"domain_scores_gemma":[0.9985688,0.00005833224,0.0001665507,0.0001879555,0.0009799841,0.00003832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003558779,0.0001097525,0.009136902,0.0001471244,0.000004086453,1.106056e-7,0.000605576,0.000007530958,0.005906863,0.1260239,0.009049074,0.8489735],"study_design_scores_gemma":[0.0008445235,0.0001190434,0.0307957,0.00179355,0.00005215696,0.000002908262,0.02115125,0.01010435,0.004019171,0.003397798,0.9268414,0.0008781889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716268,0.0001195693,0.01726465,0.03682125,0.002577009,0.001309068,0.000001301297,0.0003060829,0.06997426],"genre_scores_gemma":[0.9872196,0.00002780318,0.001537322,0.008920819,0.0002453912,0.0001752221,0.000003027318,0.000007261914,0.001863524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9177923,"threshold_uncertainty_score":0.7083806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06694493461930556,"score_gpt":0.3192647531652056,"score_spread":0.2523198185459,"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."}}