{"id":"W2952760524","doi":"10.5120/ijca2019919039","title":"Action Research Implementation in Developing an Open Source and Low Cost Robotic Platform for STEM Education","year":2019,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Computer science; Open source; Action (physics); Human–computer interaction; Engineering management; Software engineering; Data science; Operating system; Software","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":[0.06477334,0.000970075,0.0005302557,0.002058015,0.00238463,0.005037251,0.002955672,0.002847832,0.009659281],"category_scores_gemma":[0.05104015,0.0004919148,0.001137721,0.0009537257,0.004418286,0.005683525,0.008108236,0.002658478,0.002245418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00363489,"about_ca_system_score_gemma":0.01664621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008198977,"about_ca_topic_score_gemma":0.001621969,"domain_scores_codex":[0.9506503,0.03967774,0.001482151,0.002474761,0.00386593,0.001849012],"domain_scores_gemma":[0.9431151,0.034378,0.003345344,0.006707391,0.008329391,0.004124866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007194323,0.009598919,0.01310064,0.005665669,0.0001623666,0.0009779093,0.04188871,0.006439845,0.01485382,0.1988529,0.01444788,0.6932918],"study_design_scores_gemma":[0.001812958,0.0154231,0.02944888,0.009270682,0.0004897621,0.001248157,0.1092741,0.03315375,0.04462215,0.2260609,0.528748,0.0004474019],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1515535,0.0009336096,0.7305829,0.0173738,0.0009403978,0.02178042,0.0004536854,0.001568248,0.07481358],"genre_scores_gemma":[0.261807,0.0005064156,0.7157701,0.002213665,0.00008637259,0.01024984,0.0002839384,0.0001358774,0.0089468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06477334,"threshold_uncertainty_score":0.3425583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08279190202498721,"score_gpt":0.4451398971169495,"score_spread":0.3623479950919623,"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."}}