{"id":"W2900605479","doi":"10.11575/prism/32939","title":"Coding and Computational Thinking in Math and Science","year":2018,"lang":"en","type":"article","venue":"Open MIND","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Coding (social sciences); Computational thinking; Mathematics; Mathematics education; Theoretical computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003667585,0.0006553468,0.0004026627,0.0021973,0.002107747,0.005026055,0.0007999826,0.00193355,0.004851299],"category_scores_gemma":[0.009204507,0.0002539108,0.0005421173,0.002045641,0.02875672,0.006540783,0.003363891,0.003959704,0.00059311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002638889,"about_ca_system_score_gemma":0.002861085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428569,"about_ca_topic_score_gemma":0.002271186,"domain_scores_codex":[0.9952046,0.00286994,0.0003056457,0.0004399015,0.0009010798,0.0002789454],"domain_scores_gemma":[0.9917316,0.006350456,0.0004368065,0.0007240078,0.0004995785,0.0002575696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005848073,0.00000673432,0.0001762024,0.00006156816,0.000002037253,0.00002739867,0.002182979,0.0003838187,0.0001643597,0.9840564,0.0006529759,0.01227972],"study_design_scores_gemma":[0.000005345484,0.00001689472,0.0004036269,0.0001761562,0.00000274788,0.000147598,0.000945284,0.0007933913,0.00036814,0.9452319,0.05189392,0.00001488537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03737614,0.02674848,0.5394198,0.01890011,0.001700619,0.000153827,0.00009704416,0.0003153178,0.3752887],"genre_scores_gemma":[0.7363584,0.01346419,0.2192921,0.003972275,0.001180935,0.0006388026,0.0001622884,0.0001948544,0.02473624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005026055,"threshold_uncertainty_score":0.01939625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04130930809483548,"score_gpt":0.3289342672227479,"score_spread":0.2876249591279125,"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."}}