{"id":"W1602770737","doi":"10.46430/phen0011","title":"Setting up an Integrated Development Environment for Python (Linux)","year":2012,"lang":"en","type":"article","venue":"The Programming Historian","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Python (programming language); Operating system; Computer science; Development environment; GNU/Linux; Programming language; Software engineering; Embedded system; Linux kernel","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":[0.0005462861,0.0001079386,0.00007621785,0.00003063903,0.0003919201,0.00008514318,0.0004732739,0.00002657338,0.000004104067],"category_scores_gemma":[0.000009944406,0.00008524883,0.00004191413,0.0001096287,0.00002767991,0.0002131171,0.00009011371,0.00008177773,0.00006008451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000237554,"about_ca_system_score_gemma":0.00008535931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001062111,"about_ca_topic_score_gemma":0.000005008653,"domain_scores_codex":[0.999156,0.00003120672,0.0001761236,0.0001978552,0.0001690459,0.0002697952],"domain_scores_gemma":[0.9992952,0.0000952566,0.00009687156,0.0003625285,0.00004159617,0.0001085036],"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":[0.000002459141,0.00008208321,0.00002267948,0.000004000685,0.00001013019,5.348374e-8,0.007095921,0.00008082721,0.00008890461,0.09718578,0.0003972751,0.8950299],"study_design_scores_gemma":[0.00009946507,0.0000240887,0.0002273042,0.000003923218,0.000006175037,0.000001808734,0.00004872623,0.003515728,0.0001604206,0.00291701,0.9928684,0.0001268999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001126578,0.0001135423,0.99673,0.0005878519,0.0005859775,0.0004413084,0.000001212556,0.0001536179,0.0002599096],"genre_scores_gemma":[0.2198665,7.85621e-7,0.7758662,0.0001245807,0.0005113741,0.0003150952,0.00004815966,0.00002150573,0.003245836],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9924712,"threshold_uncertainty_score":0.3476346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269868008328846,"score_gpt":0.2612366157205424,"score_spread":0.2342498148876578,"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."}}