{"id":"W2984429431","doi":"10.1186/s40965-019-0072-0","title":"PyWPS: overview, new features in version 4 and existing implementations","year":2019,"lang":"en","type":"article","venue":"Open Geospatial Data Software and Standards","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; Environment and Climate Change Canada","funders":"European Commission","keywords":"Python (programming language); Computer science; Implementation; Software deployment; World Wide Web; Software engineering; Operating system","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":[0.01099598,0.001379727,0.001222732,0.004378974,0.001245785,0.005833262,0.007328018,0.001657874,0.04091137],"category_scores_gemma":[0.02317552,0.003600977,0.002611005,0.005820729,0.002360021,0.0145486,0.00830602,0.005741913,0.02496222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002019912,"about_ca_system_score_gemma":0.004847068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006737452,"about_ca_topic_score_gemma":0.002282272,"domain_scores_codex":[0.9921142,0.0008484079,0.001209701,0.0008443909,0.00397203,0.001011337],"domain_scores_gemma":[0.9917786,0.001389154,0.0005259392,0.003236487,0.002268093,0.0008017956],"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":[0.002183991,0.0006159046,0.008514997,0.002390408,0.0002383546,0.0006884584,0.001657976,0.005281421,0.0149104,0.06642342,0.3957378,0.5013568],"study_design_scores_gemma":[0.0001963305,0.0002422588,0.004444169,0.0008272159,0.00009932974,0.0006904845,0.000203676,0.01301101,0.01391738,0.02303667,0.9430082,0.0003233057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02362604,0.003006083,0.5163864,0.003552803,0.001493606,0.001522199,0.01451127,0.3903414,0.0455602],"genre_scores_gemma":[0.1146349,0.005127493,0.4956123,0.002709965,0.0007920015,0.003360007,0.09739261,0.1947784,0.08559228],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04091137,"threshold_uncertainty_score":0.1368622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2088801828400096,"score_gpt":0.4755432122304732,"score_spread":0.2666630293904637,"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."}}