{"id":"W3105170226","doi":"10.1111/bjet.13050","title":"Latent profiles of self‐regulated learning and their impacts on teachers’ technology integration","year":2020,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Metacognition; Mathematics education; Psychology; Comprehension; Self-regulated learning; Context (archaeology); Task (project management); Technology integration; Pedagogy; Educational technology; Computer science; Cognition; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003589294,0.0002813672,0.0003245522,0.001746128,0.0005554897,0.002860379,0.0004641137,0.0004525034,0.001723393],"category_scores_gemma":[0.01792345,0.000358595,0.0007036005,0.001430382,0.0009714993,0.001312201,0.002285714,0.00097758,0.0002474472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009317727,"about_ca_system_score_gemma":0.000806018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001757343,"about_ca_topic_score_gemma":0.002115462,"domain_scores_codex":[0.9968936,0.0009330328,0.0004561132,0.0005538606,0.0008567283,0.0003066475],"domain_scores_gemma":[0.9757967,0.01037395,0.006943565,0.003553862,0.002248571,0.001083293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007264686,0.0002239483,0.9829572,0.00002468223,0.00006433579,0.00004333894,0.004163639,0.0004337144,0.001011423,0.0005793137,0.00004023106,0.01038545],"study_design_scores_gemma":[0.000003975188,0.00008580255,0.9903705,0.00002215047,0.00002194701,0.00007800067,0.003191188,0.004114349,0.000820228,0.0009781122,0.0002994709,0.00001427944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980433,0.00002140967,0.001206539,0.00002685933,9.830543e-7,0.0000236459,0.00005445899,0.000008825503,0.0006139691],"genre_scores_gemma":[0.9994235,0.00001132048,0.0003864688,0.000002118802,5.13298e-7,0.00001799023,0.0000772374,0.000001996588,0.00007891603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003589294,"threshold_uncertainty_score":0.01898217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650723539521434,"score_gpt":0.3428597576347889,"score_spread":0.3163525222395746,"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."}}