{"id":"W1965723601","doi":"10.1007/s11409-014-9132-0","title":"Using multiple, contextualized data sources to measure learners’ perceptions of their self-regulated learning","year":2015,"lang":"en","type":"article","venue":"Metacognition and Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Rijksuniversiteit Groningen","keywords":"Self-regulated learning; Metacognition; Psychology; Mathematics education; Class (philosophy); Exploratory research; Perception; Sample (material); Qualitative research; Computer science; Sociology; Cognition; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007336454,0.0002833302,0.0005162379,0.000423088,0.0005568368,0.00008010199,0.0002614057,0.0001917036,0.0003792755],"category_scores_gemma":[0.00373448,0.0002560765,0.00007612006,0.000648107,0.0001345044,0.0002124797,0.0001884031,0.001381492,0.0001008565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000365788,"about_ca_system_score_gemma":0.00005824062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977882,"about_ca_topic_score_gemma":0.00001250042,"domain_scores_codex":[0.9917507,0.006442962,0.0004892478,0.0006111648,0.000316982,0.0003889454],"domain_scores_gemma":[0.9979407,0.0006727974,0.0003488972,0.0003767806,0.0004496507,0.0002112121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001111391,0.0005476436,0.2159799,0.00009570782,0.001490209,0.00001950825,0.4315861,0.01022526,0.08158454,0.0005323419,0.000595292,0.2562321],"study_design_scores_gemma":[0.01326863,0.001856307,0.1302157,0.0006884734,0.001156413,0.0002871871,0.5931355,0.08321459,0.0009690674,0.0001986256,0.1728091,0.0022004],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906994,0.0003875994,0.08669991,0.0001140706,0.0002233536,0.0002497394,0.0000108486,0.0003559853,0.00496444],"genre_scores_gemma":[0.979269,0.000004596567,0.01850678,0.0001473069,0.000155047,0.0000116947,0.0001745024,0.00006041512,0.001670688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2540317,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2672148054649116,"score_gpt":0.4177545587708127,"score_spread":0.1505397533059012,"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."}}