{"id":"W2017871626","doi":"10.15173/jpc.v3i2.164","title":"Live programming for robotic fabrication","year":2014,"lang":"en","type":"article","venue":"Journal of Professional Communication","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eidgenössische Technische Hochschule Zürich; Singapore-ETH Centre; National Research Foundation Singapore; National University of Singapore; National Research Foundation","keywords":"Computer science; Robot; Task (project management); Process (computing); Human–computer interaction; Inductive programming; Software; Computer programming; Field (mathematics); Programming language; Software engineering; Programming paradigm; Artificial intelligence; Engineering; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146546,0.00005948586,0.000139324,0.00009191754,0.0003249702,0.00002889036,0.0009461878,0.00006702146,0.000002077605],"category_scores_gemma":[0.000555035,0.00004519132,0.00006603119,0.0001240146,0.00005212482,0.0003281304,0.0001955465,0.0002232587,0.000004314878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003465003,"about_ca_system_score_gemma":0.0000538654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001524874,"about_ca_topic_score_gemma":0.000003281456,"domain_scores_codex":[0.999181,0.0001712636,0.0003137044,0.00007540236,0.0001586427,0.00009997055],"domain_scores_gemma":[0.9980578,0.0004960242,0.0004835614,0.0003994883,0.0005356491,0.00002742028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004351193,0.0003643928,0.002268183,0.00005003906,0.00007462227,3.767481e-7,0.005548714,0.0001537523,0.0004116538,0.6687638,0.01018989,0.3121311],"study_design_scores_gemma":[0.002517034,0.001259078,0.06479838,0.0007539677,0.00009277762,0.0001033283,0.0020843,0.08238683,0.0007092935,0.6510561,0.1937239,0.0005150764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01157662,0.0006143295,0.9773042,0.009554595,0.0004962737,0.0001713904,1.051742e-7,0.00003835511,0.0002441846],"genre_scores_gemma":[0.7814466,0.00003706543,0.2180697,0.0001707299,0.00006130693,0.00002011786,0.000001427121,0.000002929495,0.0001901099],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.76987,"threshold_uncertainty_score":0.2499441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241444485730646,"score_gpt":0.3171224733391829,"score_spread":0.2847080284818764,"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."}}