{"id":"W4412331264","doi":"","title":"Computational Thinking i Matematik og Naturvidenskab (CTiMNAT):Evaluering af projektets andet kursusforløb 2019-2021. Rapport udarbejdet for Danske Science Gymnasier (DASG) af Center for Computational Thinking & Design, Aarhus Universitet","year":2021,"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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.01330101,0.001952653,0.002402874,0.001968308,0.005629454,0.004734669,0.004274578,0.0009692718,0.0002833958],"category_scores_gemma":[0.001087967,0.001969889,0.001374888,0.001892679,0.0007684593,0.003138478,0.001808181,0.001790539,0.0000912383],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002655268,"about_ca_system_score_gemma":0.0100876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000311506,"about_ca_topic_score_gemma":0.00006360342,"domain_scores_codex":[0.982568,0.0006928046,0.003153007,0.004387349,0.00639743,0.002801468],"domain_scores_gemma":[0.982552,0.003289649,0.003198948,0.001489196,0.008790771,0.0006794282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004248674,0.0007748252,0.001202824,0.004908099,0.002385833,0.0004354667,0.0198893,0.8140548,0.0004570884,0.1175782,0.03072892,0.00715978],"study_design_scores_gemma":[0.004304352,0.0007794366,0.0007725782,0.01063593,0.00067813,0.001779255,0.003085078,0.6652492,0.0007695628,0.01174776,0.2955181,0.004680676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001129608,0.001426019,0.9753788,0.0006128515,0.01070565,0.005912795,0.0005736416,0.000452764,0.003807845],"genre_scores_gemma":[0.04347698,0.0001907468,0.8742654,0.0008965782,0.003191603,0.0004149519,0.004515735,0.0004306051,0.07261738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2647891,"threshold_uncertainty_score":0.9993217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08168976302410313,"score_gpt":0.3235460731848577,"score_spread":0.2418563101607546,"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."}}