{"id":"W2611369485","doi":"10.1145/3025453.3026036","title":"WeBuild","year":2017,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Task (project management); Dashboard; Process (computing); Group (periodic table); Human–computer interaction; Phone; Order (exchange); Mobile phone; Data science; Programming language; 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":[0.001244118,0.001775398,0.001099422,0.001922022,0.0009886157,0.00289695,0.00420051,0.001714291,0.07600217],"category_scores_gemma":[0.005039765,0.001058957,0.001475902,0.001709515,0.0006179499,0.004074371,0.005763216,0.001866773,0.04271871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190511,"about_ca_system_score_gemma":0.001491784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006737755,"about_ca_topic_score_gemma":0.008270886,"domain_scores_codex":[0.999072,0.0001175909,0.00008395467,0.0002667537,0.0003191847,0.000140528],"domain_scores_gemma":[0.9985039,0.0004185648,0.0000761506,0.0005507481,0.0002772569,0.0001734192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002783017,0.0005211406,0.002426069,0.002289786,0.0002059855,0.0004891313,0.0008392942,0.01059829,0.0119017,0.0365295,0.5506865,0.3807295],"study_design_scores_gemma":[0.0004329244,0.0001619534,0.001558877,0.0002372391,0.00006217087,0.0002730014,0.0001961809,0.07075351,0.01971253,0.0287402,0.8777071,0.0001642743],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.006832379,0.001121828,0.3434652,0.0005959414,0.000613803,0.001027163,0.03093654,0.5593953,0.05601183],"genre_scores_gemma":[0.1478334,0.002203367,0.4490581,0.001953684,0.0002207805,0.004319206,0.1632997,0.0900755,0.1410362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07600217,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593854875262742,"score_gpt":0.2554013086478387,"score_spread":0.2394627598952113,"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."}}