{"id":"W2491654147","doi":"10.4018/978-1-60566-158-2.ch015","title":"Designing Multimedia to Trace Goal Setting in Studying","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; TRACE (psycholinguistics); Goal orientation; Tracing; Hypermedia; Data science; Human–computer interaction; Goal modeling; Multimedia; Psychology; Software","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002619463,0.000601099,0.0007366547,0.0003148719,0.0001711887,0.00006856964,0.0004279645,0.0006521653,0.0001284113],"category_scores_gemma":[0.0002886,0.0006520475,0.0001619004,0.00007442677,0.00006313914,0.00002815608,0.00009809971,0.001834655,0.0005366022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004424385,"about_ca_system_score_gemma":0.000105367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002198764,"about_ca_topic_score_gemma":0.00005020811,"domain_scores_codex":[0.996648,0.0006014344,0.0007187091,0.0009093685,0.0003713936,0.0007510982],"domain_scores_gemma":[0.9985327,0.0003552678,0.0003337245,0.0005200407,0.00009827011,0.0001599721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001823901,0.00004477232,0.0007552981,0.00002005534,0.0001457907,0.0005381708,0.01074155,0.00006929556,0.0004236005,0.3337447,0.002633161,0.6507012],"study_design_scores_gemma":[0.01136993,0.003777279,0.07068789,0.007632186,0.0006371121,0.0006852324,0.005108314,0.0002452949,0.0003831182,0.2669243,0.6223698,0.01017951],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002572136,0.0002986781,0.009351608,0.0001012567,0.0009456718,0.0006497491,0.00001946167,0.0002873696,0.985774],"genre_scores_gemma":[0.3465376,5.020414e-7,0.1794247,0.002586005,0.001309692,0.00007144601,0.000009884028,0.0002331537,0.4698271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6405218,"threshold_uncertainty_score":0.9995931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05279993054061557,"score_gpt":0.365845570199151,"score_spread":0.3130456396585354,"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."}}