{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008140182,0.000159786,0.0002590249,0.00007416684,0.0002697493,0.001458039,0.002297844,0.00009002032,0.0003809497],"category_scores_gemma":[0.001152585,0.0001688706,0.00008701547,0.001164566,0.00009408107,0.001752876,0.002262387,0.000292317,0.0004225671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397975,"about_ca_system_score_gemma":0.0008376527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000502351,"about_ca_topic_score_gemma":0.00002661044,"domain_scores_codex":[0.9975964,0.000184361,0.0002885346,0.000541977,0.0005954957,0.0007931911],"domain_scores_gemma":[0.9982511,0.0002853366,0.00005662933,0.000878376,0.0002910855,0.0002374131],"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":[0.000008080213,0.0006699114,0.09020144,0.00006492762,0.0002801657,0.0004834619,0.003854869,0.000174315,0.0005044096,0.7583504,0.1257665,0.01964157],"study_design_scores_gemma":[0.002564906,0.0001742123,0.2590583,0.00004608436,0.00005680792,0.0001001113,0.0003957071,0.04528256,0.009804244,0.02439845,0.6563354,0.00178318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4854245,0.001201952,0.3898955,0.06402008,0.003245421,0.001157891,0.00002854801,0.002066199,0.05295995],"genre_scores_gemma":[0.9869453,0.000005237971,0.01000993,0.0008100671,0.0001970517,0.00007993772,0.000007545814,0.00002393038,0.001920979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7339519,"threshold_uncertainty_score":0.9995785,"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."}}