{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03521609,0.0006432903,0.001324275,0.001818418,0.001223274,0.0003676054,0.002001501,0.000678837,0.0006855372],"category_scores_gemma":[0.003715329,0.0005991384,0.0007104827,0.003416709,0.0003539714,0.0003412967,0.0003343677,0.003616184,0.00004446794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250499,"about_ca_system_score_gemma":0.0001085835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000917434,"about_ca_topic_score_gemma":0.0002744241,"domain_scores_codex":[0.9906218,0.002659558,0.001375449,0.001266016,0.002544335,0.001532835],"domain_scores_gemma":[0.9946977,0.00102761,0.001514789,0.001550272,0.0009850555,0.0002245523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004290553,0.000721577,0.1943752,0.000136749,0.01205951,0.00007871836,0.1888295,0.0005458242,0.001618286,0.3500899,0.00255107,0.2485646],"study_design_scores_gemma":[0.00124675,0.00005992525,0.9396067,0.0001318326,0.001997,0.00001698799,0.001554171,0.0001324713,0.0005736009,0.03811811,0.0157471,0.000815383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7244776,0.001983542,0.05251174,0.001829472,0.00857065,0.002015983,0.00003740686,0.001172285,0.2074013],"genre_scores_gemma":[0.9691417,0.00001353608,0.02652752,0.00151851,0.0007548907,0.0006066304,0.00005557734,0.0001317263,0.001249879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7452314,"threshold_uncertainty_score":0.999646,"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."}}