{"id":"W2975434246","doi":"","title":"Labels and low student engagement: How activity categorization impacts students' perception and engagement of learning activities","year":2019,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Categorization; Student engagement; Perception; Psychology; Mathematics education; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.004436853,0.0001870296,0.0003667349,0.0002428716,0.001081053,0.00007972215,0.0003967063,0.00018373,0.00005571805],"category_scores_gemma":[0.0002355657,0.0001933525,0.0000678645,0.0003048124,0.0002844019,0.0004979416,0.0002005154,0.0006291575,0.000001539849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089672,"about_ca_system_score_gemma":0.0001393392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002409872,"about_ca_topic_score_gemma":0.0007717446,"domain_scores_codex":[0.9961559,0.002501063,0.0001160678,0.0002777687,0.0007363842,0.0002128464],"domain_scores_gemma":[0.9984513,0.000443763,0.0006613198,0.0001835944,0.0002149366,0.00004506787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002843585,0.0002050698,0.03713541,0.0006773978,0.0004016833,0.000002171491,0.6201726,0.00002956139,0.3131943,0.003112586,0.0000752227,0.02470966],"study_design_scores_gemma":[0.0003976552,0.00012703,0.6204865,0.00009205805,0.0001784071,1.315594e-7,0.3777829,0.00002596415,0.0004142057,0.00006003368,0.0002829551,0.0001521301],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960557,0.0000766278,0.0008911617,0.0002726306,0.0002488204,0.0006375378,0.00001004123,0.00003215312,0.001775341],"genre_scores_gemma":[0.9913081,0.00089598,0.0002996049,0.000005181561,0.0000502922,6.414303e-7,0.00005185293,0.00001604124,0.007372324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5833511,"threshold_uncertainty_score":0.8314692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189080696711669,"score_gpt":0.3315324104867127,"score_spread":0.299641603519596,"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."}}