{"id":"W1973104896","doi":"10.1111/j.1473-4192.2009.00227.x","title":"Self‐scaffolding mediated by languaging: microgenetic analysis of high and low performers","year":2010,"lang":"en","type":"article","venue":"International Journal of Applied Linguistics","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Psychology; Construct (python library); Meaning (existential); TRACE (psycholinguistics); Agency (philosophy); Linguistics; Sociology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007508229,0.0001918221,0.000367351,0.001391323,0.0007950651,0.001842075,0.0003033864,0.0004629651,0.002825161],"category_scores_gemma":[0.003524103,0.0001054735,0.000178193,0.000606638,0.001394521,0.0005942131,0.001071685,0.0004395386,0.0004639293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932566,"about_ca_system_score_gemma":0.0002216037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005921243,"about_ca_topic_score_gemma":0.00661277,"domain_scores_codex":[0.9994928,0.0001922769,0.00003073284,0.00009263652,0.00008276528,0.0001087406],"domain_scores_gemma":[0.9965779,0.001844496,0.0005451396,0.0002480365,0.0003765226,0.0004079244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008060359,0.0005335899,0.7779326,0.00008128719,0.00008491716,0.0007685123,0.1488796,0.0003441836,0.03518559,0.0009836731,0.0003477825,0.03405223],"study_design_scores_gemma":[0.000005762956,0.000397691,0.9517604,0.000007556186,0.00001767224,0.0002627473,0.04305441,0.0007528292,0.002458437,0.0003306924,0.0009226716,0.0000291311],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992651,0.00001270772,0.0001140646,0.00001061758,5.323438e-7,0.000003689575,0.00001539371,0.000003394425,0.0005745431],"genre_scores_gemma":[0.9992157,0.000009033554,0.00009107371,0.000006714493,9.992755e-7,0.000004893533,0.00003259822,0.000004597605,0.0006343549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005921243,"threshold_uncertainty_score":0.01177359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008397913579987143,"score_gpt":0.3250530135425416,"score_spread":0.3166550999625544,"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."}}