{"id":"W3211582933","doi":"10.54590/pop.2021.004","title":"Social Analytics Through Spyral","year":2021,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"JavaScript; Computer science; Analytics; World Wide Web; Development environment; Code (set theory); Data science; Software engineering; Programming language; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007798849,0.001050803,0.0005444968,0.004324485,0.002608993,0.009230997,0.002122605,0.001112411,0.02974816],"category_scores_gemma":[0.01832381,0.0006603308,0.001181526,0.002892755,0.004663002,0.01996469,0.0176697,0.001912137,0.007790212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334485,"about_ca_system_score_gemma":0.001682057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686968,"about_ca_topic_score_gemma":0.002926495,"domain_scores_codex":[0.9912894,0.005057769,0.00035639,0.001432096,0.001552903,0.000311471],"domain_scores_gemma":[0.9864818,0.007869219,0.0006594409,0.003606258,0.0006897015,0.0006935286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003210538,0.0001532647,0.00330795,0.0009779858,0.00008060392,0.0006442748,0.02738121,0.003434669,0.003255125,0.5567602,0.05724561,0.346438],"study_design_scores_gemma":[0.00004297321,0.00005263391,0.001187319,0.0003325409,0.00001630743,0.0002896809,0.005074392,0.01192857,0.002196993,0.26822,0.7106036,0.00005495775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01965612,0.001095474,0.8225886,0.006865758,0.0005066999,0.0005296304,0.004169431,0.02742497,0.1171634],"genre_scores_gemma":[0.3296607,0.001634905,0.6054295,0.00141857,0.0005004861,0.00138965,0.008139658,0.005377541,0.04644892],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02974816,"threshold_uncertainty_score":0.09951752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2733881142875599,"score_gpt":0.4185746105099472,"score_spread":0.1451864962223872,"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."}}