{"id":"W2914889323","doi":"","title":"Proceedings of the 4th International Workshop on Software Engineering for Computational Science and Engineering","year":2011,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Software development; Computer science; Software engineering; Domain (mathematical analysis); Software; Variety (cybernetics); Salient; Social software engineering; Data science; Software construction; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01352051,0.002055465,0.001749013,0.002069079,0.001610288,0.008752219,0.003793985,0.003482427,0.03794825],"category_scores_gemma":[0.015415,0.001147558,0.002605072,0.001690288,0.002522872,0.008188347,0.006199658,0.007598167,0.01461684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149514,"about_ca_system_score_gemma":0.004755355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003452296,"about_ca_topic_score_gemma":0.004547886,"domain_scores_codex":[0.9910945,0.003824086,0.0009326239,0.001175621,0.002261957,0.0007111497],"domain_scores_gemma":[0.9884221,0.004820601,0.0002871671,0.001972225,0.003097468,0.001400424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003463813,0.0005341824,0.001038691,0.001022113,0.0001544406,0.0006284083,0.002342117,0.003911941,0.005701724,0.06104015,0.5259853,0.3972946],"study_design_scores_gemma":[0.00004247152,0.0001184274,0.0006977335,0.0007413167,0.00005028997,0.0004200744,0.0005193838,0.0047063,0.00191883,0.02403599,0.9667004,0.00004860661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01748787,0.06751043,0.5990072,0.06310559,0.07396642,0.001502384,0.001881556,0.005238456,0.1703001],"genre_scores_gemma":[0.08814933,0.06556319,0.423088,0.009291644,0.01866735,0.001967695,0.01397294,0.006627337,0.3726726],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03794825,"threshold_uncertainty_score":0.1269495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027256636608016,"score_gpt":0.318564607039802,"score_spread":0.2158389433790004,"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."}}