{"id":"W263052035","doi":"","title":"01010000 01001100 01000001 01011001: Play Elements in Computer Programming.","year":2013,"lang":"en","type":"article","venue":"American journal of play","topic":"Digital Games and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Hacker; Debugging; Computer science; Cybernetics; Cognitive science; Human–computer interaction; Context (archaeology); Epistemology; Psychology; Artificial intelligence; Programming language; Computer security","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":[0.0008990373,0.0001854976,0.0004609786,0.0002619655,0.00007402427,0.0002451016,0.0005575689,0.00006167786,0.0008847152],"category_scores_gemma":[0.0001226565,0.0001560105,0.0001634474,0.0006264779,0.0006452707,0.0007050877,0.00005566962,0.0003746143,0.0002094417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001699741,"about_ca_system_score_gemma":0.0003300937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545764,"about_ca_topic_score_gemma":0.0006755699,"domain_scores_codex":[0.9974545,0.0001901976,0.0007287788,0.0001994566,0.0007441118,0.0006829708],"domain_scores_gemma":[0.9982783,0.0002008018,0.0006567087,0.0001594198,0.0002177152,0.0004870545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002336357,0.0002109516,0.02161741,0.000003119319,0.00004322121,0.00005889338,0.00954935,0.00002592707,0.0000340177,0.0002568027,0.005002211,0.9631748],"study_design_scores_gemma":[0.001007749,0.001160771,0.03503555,0.0001339921,0.00002499007,0.0000386882,0.009692199,0.00006790651,0.00004067252,0.0002477984,0.9521829,0.0003668188],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629349,0.0001265464,0.0004093006,0.001976832,0.0009957619,0.000426823,0.000005082122,0.0000364231,0.03308835],"genre_scores_gemma":[0.984228,0.0001572665,0.01094972,0.0009571969,0.0008306671,0.00001543378,0.000002936021,0.00002549448,0.002833316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9628079,"threshold_uncertainty_score":0.9687011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009685846316304158,"score_gpt":0.2756288801932854,"score_spread":0.2659430338769813,"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."}}