{"id":"W1965692994","doi":"10.1145/2591708.2602671","title":"Impact of reward structures in an inverted course","year":2014,"lang":"en","type":"article","venue":"","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Course (navigation); Mathematics education; Computer science; Psychology; Multimedia; Engineering","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":[0.002472825,0.00005436226,0.0001272056,0.00007999555,0.00006580661,0.00001480235,0.0001850498,0.00006319237,0.0003596604],"category_scores_gemma":[0.0007760807,0.00004135648,0.00003043445,0.0003672354,0.0001812257,0.0001447292,0.00001488607,0.0001152149,0.000002322738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006789534,"about_ca_system_score_gemma":0.0001361855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01749521,"about_ca_topic_score_gemma":0.006696276,"domain_scores_codex":[0.9983224,0.001099014,0.0001349184,0.0001013973,0.0001765277,0.0001656979],"domain_scores_gemma":[0.9995242,0.0001363741,0.00006182582,0.0001387516,0.0000941548,0.00004473751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001273917,0.00004715262,0.7356521,0.000002080222,0.00000871501,2.999184e-7,0.01290161,0.00002730838,0.00380676,0.2245447,0.0005568229,0.02243965],"study_design_scores_gemma":[0.0001680078,0.0001009207,0.9626175,0.000003754316,0.000002220337,9.117362e-8,0.0009371546,0.000266471,0.0003483192,0.03520896,0.0002729463,0.00007363161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460874,0.000002090325,0.002429067,0.0001161785,0.00007343234,0.00006683268,9.415781e-7,0.00003626363,0.05118778],"genre_scores_gemma":[0.987323,4.709995e-7,0.01237155,0.0000811359,0.00006093771,8.019444e-7,0.000001299405,0.000004661992,0.0001561038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2269654,"threshold_uncertainty_score":0.9890473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06473272191864768,"score_gpt":0.4773724655094558,"score_spread":0.4126397435908081,"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."}}