{"id":"W2417192688","doi":"","title":"Thinking about thinking - thinking about measurement: a Rasch analysis of recursive thinking.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Rasch model; Task (project management); Measure (data warehouse); Cognitive psychology; Psychology; Computer science; Developmental psychology; Data mining","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":[0.01969519,0.0008877589,0.0006641067,0.004023567,0.001084342,0.002513291,0.0007361882,0.0004244023,0.001845277],"category_scores_gemma":[0.09968515,0.0005394534,0.001390041,0.003898082,0.001886955,0.002247656,0.001630382,0.001988851,0.0002865608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367109,"about_ca_system_score_gemma":0.001952744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005040256,"about_ca_topic_score_gemma":0.005747698,"domain_scores_codex":[0.9867899,0.009122405,0.0006148033,0.001066717,0.002181347,0.0002249454],"domain_scores_gemma":[0.9149519,0.06791218,0.004088447,0.006442679,0.006126934,0.0004778917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009939099,0.0008200996,0.2995662,0.001258256,0.002552635,0.0005161982,0.05222695,0.01898882,0.00688196,0.0684453,0.007482708,0.5402669],"study_design_scores_gemma":[0.0002066627,0.001529138,0.5922495,0.0005787962,0.0009081906,0.0006699321,0.008556093,0.2135858,0.005627542,0.1603352,0.01542244,0.0003306854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6446862,0.0007476047,0.3418963,0.0006981127,0.0001537885,0.001744695,0.000707241,0.001128573,0.008237518],"genre_scores_gemma":[0.8195733,0.0002045075,0.1777607,0.00005061442,0.00003017665,0.001213898,0.0005291532,0.0001288955,0.0005085833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01969519,"threshold_uncertainty_score":0.1041593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05643994131946865,"score_gpt":0.3301777034068966,"score_spread":0.2737377620874279,"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."}}