{"id":"W4412301447","doi":"","title":"Computational Thinking i Matematik og Naturvidenskab:Evaluering af kursusforløbet efter det første gennemløb 2018-2019. Rapport udarbejdet for Danske Science Gymnasier (DASG) af Center for Computational Thinking & Design, Aarhus Universitet","year":2019,"lang":"da","type":"report","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Center (category theory); Mathematics education; Mathematics; Chemistry; Crystallography","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002562005,0.000387235,0.0004109637,0.001056919,0.0009134545,0.003936976,0.0004355031,0.0005800776,0.0227741],"category_scores_gemma":[0.006981773,0.0002000932,0.0002479136,0.001388889,0.0008353624,0.002409266,0.00220156,0.001264506,0.006923304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002674527,"about_ca_system_score_gemma":0.004219132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01822514,"about_ca_topic_score_gemma":0.02657977,"domain_scores_codex":[0.9987922,0.0002203593,0.00004815033,0.0001732068,0.0006091091,0.0001569594],"domain_scores_gemma":[0.9964579,0.001054241,0.0001931619,0.000205988,0.00129668,0.0007920574],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004809019,0.0003639824,0.01731124,0.0006865863,0.0000403516,0.0000824841,0.00621593,0.002362109,0.002514138,0.02408114,0.2482562,0.6976051],"study_design_scores_gemma":[0.00003923292,0.0002688914,0.09728269,0.0009842342,0.00005481955,0.0001660467,0.0108113,0.003817934,0.01283027,0.02550388,0.8481435,0.00009710425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4772901,0.04698356,0.03808132,0.03309945,0.00344276,0.0005685871,0.0287791,0.002043439,0.3697116],"genre_scores_gemma":[0.7079877,0.02281911,0.03053128,0.0006405633,0.0003852938,0.0004782162,0.01886979,0.001100974,0.2171871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.997438,"threshold_uncertainty_score":0.07618695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07725830834361047,"score_gpt":0.3094598799950496,"score_spread":0.2322015716514392,"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."}}