{"id":"W4309223265","doi":"10.12973/ijem.8.4.805","title":"Factor Structure and Dimensionality of an Instrument designed to Measure the Metacognitive Orientation of Thai Science Classroom Learning Environments","year":2022,"lang":"en","type":"article","venue":"International Journal of Educational Methodology","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metacognition; Rasch model; Exploratory factor analysis; Psychology; Context (archaeology); Mathematics education; Science education; Scale (ratio); Curse of dimensionality; Factor (programming language); Psychometrics; Computer science; Developmental psychology; Artificial intelligence; Cognition","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003348113,0.00008568323,0.0001916061,0.00026245,0.0004257378,0.00002293141,0.0006142181,0.00002907271,0.0009423599],"category_scores_gemma":[0.002626449,0.00006774722,0.00006161904,0.0002192081,0.0005544638,0.0002893067,0.0001630622,0.0002191385,5.506643e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003283781,"about_ca_system_score_gemma":0.0007761086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001717323,"about_ca_topic_score_gemma":0.00002041785,"domain_scores_codex":[0.9959566,0.0015229,0.0004658572,0.0001774624,0.001747012,0.0001301598],"domain_scores_gemma":[0.9968405,0.001891825,0.0007114683,0.00008036692,0.0003672125,0.0001086297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007990201,0.001276037,0.5798669,0.000008637923,0.0007600522,0.000002304463,0.09704005,0.00676556,0.1154547,0.1604,0.00006464866,0.03756209],"study_design_scores_gemma":[0.0004736225,0.0003566224,0.9491395,0.00001218033,0.00005895526,0.00003014849,0.02661378,0.00001202741,0.00434877,0.01600904,0.002837043,0.000108333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890059,0.00008846885,0.0008571065,0.008221027,0.001483822,0.0001688277,0.00004376437,9.740259e-7,0.0001300759],"genre_scores_gemma":[0.9851015,0.00002379277,0.014168,0.0003305388,0.0001674923,0.00001037071,0.000009611171,0.000005191898,0.00018357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3692726,"threshold_uncertainty_score":0.9999709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087904746865841,"score_gpt":0.43455169832718,"score_spread":0.3257612236405959,"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."}}