{"id":"W2089611387","doi":"10.1007/s11423-012-9280-3","title":"Fostering learners’ metacognitive skills of keyword reformulation in image seeking by location-based hierarchical navigation","year":2012,"lang":"en","type":"article","venue":"Educational Technology Research and Development","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metacognition; Computer science; Task (project management); WordNet; Cognition; Information retrieval; Hypermedia; Multimedia; Construct (python library); Psychology; 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":[0.0003932266,0.000295279,0.0002288968,0.0002060379,0.0001126232,0.0007019055,0.0004139125,0.0002928838,0.002972471],"category_scores_gemma":[0.002629879,0.0001636753,0.0002048185,0.0001292889,0.0002393322,0.0007622587,0.0006237027,0.0005693538,0.0006035221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001176261,"about_ca_system_score_gemma":0.0004413301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004789312,"about_ca_topic_score_gemma":0.0006388741,"domain_scores_codex":[0.9998067,0.00004816892,0.00001470288,0.00005595306,0.00004601261,0.00002854891],"domain_scores_gemma":[0.9989845,0.0004738842,0.0002059659,0.0001120926,0.00008435074,0.0001391948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004812662,0.0268366,0.04079811,0.0009478845,0.0001500089,0.00037324,0.01168034,0.003361804,0.4324203,0.004107821,0.002275012,0.4722362],"study_design_scores_gemma":[0.003608525,0.03698332,0.2743153,0.0005911521,0.001451602,0.001325852,0.01037037,0.07278583,0.5505742,0.01923793,0.02848175,0.0002741101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958107,0.00003672064,0.002690326,0.00004220615,0.000007777092,0.00003044762,0.00001032672,0.00006147134,0.001309927],"genre_scores_gemma":[0.9869168,0.00009464502,0.01098318,0.00002747445,0.000004452912,0.0000510836,0.00003275342,0.00000932074,0.001880404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002972471,"threshold_uncertainty_score":0.009943962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.091545965454439,"score_gpt":0.4617241892585865,"score_spread":0.3701782238041475,"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."}}