{"id":"W2914412223","doi":"10.5539/ies.v12n2p109","title":"Building Learning Trajectory Mathematical Problem Solving Ability in Circle Tangent Topic by Applying Metacognition Approach","year":2019,"lang":"en","type":"article","venue":"International Education Studies","topic":"Mathematics Education and Pedagogy","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metacognition; Mathematics education; Class (philosophy); Construct (python library); Tangent; Process (computing); Mathematical problem; Computer science; Mathematics; Psychology; Artificial intelligence; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001195761,0.0005051996,0.0005143628,0.001881168,0.0005548815,0.0014422,0.0007962385,0.0004434416,0.003900903],"category_scores_gemma":[0.005551843,0.0002333108,0.000608902,0.0009296932,0.0004566699,0.002184122,0.001703877,0.0006916255,0.0005852839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029628,"about_ca_system_score_gemma":0.00179151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002359554,"about_ca_topic_score_gemma":0.002692094,"domain_scores_codex":[0.998859,0.0002667027,0.00008716299,0.0003212413,0.0003679402,0.00009792281],"domain_scores_gemma":[0.9973782,0.0009443756,0.0003730447,0.0003327975,0.0007301045,0.0002414266],"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":[0.0006265575,0.007216245,0.1378836,0.0008718082,0.0001111572,0.0002313369,0.01649236,0.0185326,0.02149614,0.01281544,0.002861279,0.7808616],"study_design_scores_gemma":[0.0004892512,0.01137434,0.4584675,0.0008912021,0.0005837728,0.0006708138,0.0244641,0.2780099,0.1237828,0.05507143,0.04590141,0.0002934613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118827,0.00012345,0.07558918,0.000206868,0.00001606265,0.0008413416,0.000229856,0.000457439,0.01065304],"genre_scores_gemma":[0.8770007,0.0002829311,0.1171434,0.00003241339,0.000007005049,0.001044787,0.0004787447,0.00003210693,0.003977918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003900903,"threshold_uncertainty_score":0.01304984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079635894142397,"score_gpt":0.4215436518245488,"score_spread":0.3135800624103091,"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."}}