{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006340381,0.00006604346,0.0001054999,0.0005721418,0.00005632402,0.0003210995,0.001200772,0.00004457839,0.000004416693],"category_scores_gemma":[0.000005786025,0.00006896434,0.00001799596,0.000278431,0.00001590412,0.001028975,0.0002064049,0.0001547462,0.00000708766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616257,"about_ca_system_score_gemma":0.0004157074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002440607,"about_ca_topic_score_gemma":0.00002961488,"domain_scores_codex":[0.9990966,0.00003071051,0.0003384199,0.0001835411,0.000226992,0.0001237129],"domain_scores_gemma":[0.998741,0.0001465808,0.0001809913,0.0001886059,0.000690831,0.00005196905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009144142,0.0001470601,0.001830796,0.00001723114,0.00002148466,2.332479e-7,0.0005025116,0.002542936,0.0004345668,0.270713,0.000457441,0.7233236],"study_design_scores_gemma":[0.005299954,0.0008384349,0.1169043,0.000497692,0.000018024,0.0006839875,0.002891804,0.468435,0.007843492,0.09192605,0.3038236,0.0008376855],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07850853,0.00002205532,0.916775,0.003290813,0.000615846,0.0007211424,9.886282e-7,0.00002106747,0.00004456031],"genre_scores_gemma":[0.8295491,0.00003436961,0.1696206,0.0002690639,0.0002132273,0.0002172818,0.00001619121,0.000009683822,0.00007040802],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7510406,"threshold_uncertainty_score":0.309637,"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."}}