{"id":"W2799580483","doi":"10.6000/1927-5129.2018.14.09","title":"Pedagogical Significance of Natural Language Programming in Introductory Programming","year":2018,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; First-generation programming language; Programming domain; Natural language programming; Functional logic programming; Programming language; Fifth-generation programming language; Inductive programming; Programming paradigm; Very high-level programming language; Syntax; Procedural programming; Extensible programming; Natural language; Artificial intelligence; Universal Networking Language; Comprehension approach","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001586221,0.0002120001,0.000143677,0.0004740784,0.000844172,0.00232583,0.0003712375,0.0006169663,0.003256605],"category_scores_gemma":[0.008405912,0.0001560195,0.0001579617,0.0004758423,0.002691332,0.002914354,0.001415772,0.001859318,0.000285856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003569,"about_ca_system_score_gemma":0.002070383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004278804,"about_ca_topic_score_gemma":0.000663402,"domain_scores_codex":[0.9980202,0.001284748,0.00007494025,0.0002087345,0.0003195355,0.0000917892],"domain_scores_gemma":[0.9937377,0.004582753,0.0004009657,0.0003057886,0.0005713647,0.0004014423],"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":[0.00009192756,0.0003216421,0.01112113,0.0009696133,0.00001332088,0.0008381846,0.017726,0.001492662,0.01081669,0.7072511,0.004317321,0.2450404],"study_design_scores_gemma":[0.00003984106,0.0003616438,0.02159491,0.001242681,0.00004889079,0.002153975,0.0132135,0.006181936,0.01011298,0.641519,0.3034566,0.00007405381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3155268,0.01745149,0.2765217,0.06093719,0.001549626,0.0003009077,0.000112491,0.0004817619,0.327118],"genre_scores_gemma":[0.9331731,0.004586549,0.04598592,0.001830872,0.0004207606,0.0001689445,0.00004902548,0.00007215803,0.01371268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003256605,"threshold_uncertainty_score":0.01089448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429729382724778,"score_gpt":0.320199829697014,"score_spread":0.2859025358697663,"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."}}