{"id":"W4205532745","doi":"10.15353/joci.v18i1.4427","title":"Lessons Learned: The Multifaceted Field of (Digital) Neighborhood Development","year":2022,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Process (computing); Individualism; Field (mathematics); Sustainable development; Knowledge management; Process management; Computer science; Business; Engineering; Political science; Mathematics","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":[0.01154132,0.0004836268,0.0005645953,0.001163346,0.004680374,0.007283579,0.002382715,0.001774586,0.005223391],"category_scores_gemma":[0.008990602,0.0002833642,0.0005652377,0.001472601,0.00510888,0.007593746,0.007799411,0.003279493,0.000479795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004815398,"about_ca_system_score_gemma":0.01143023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077984,"about_ca_topic_score_gemma":0.03727058,"domain_scores_codex":[0.9934062,0.004130621,0.000202198,0.0006544517,0.000811393,0.0007951687],"domain_scores_gemma":[0.9894315,0.006130953,0.0003414959,0.0007311786,0.001415367,0.001949463],"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":[0.0001471427,0.0005990319,0.03313577,0.003131903,0.00007142458,0.003397211,0.1381924,0.002096601,0.001603488,0.1919626,0.03037294,0.5952895],"study_design_scores_gemma":[0.00003514167,0.0003966051,0.0237518,0.004435472,0.00004605197,0.001740183,0.5641831,0.001940236,0.001346869,0.0852783,0.3167548,0.00009144738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4840511,0.02542344,0.04277486,0.3585433,0.00266521,0.0006180237,0.0003901306,0.0002462175,0.08528779],"genre_scores_gemma":[0.9290648,0.01366973,0.03835134,0.009015876,0.0002068386,0.0002561445,0.0001533599,0.00007810552,0.009203834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01154132,"threshold_uncertainty_score":0.06103706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04565353402276599,"score_gpt":0.2650381615912289,"score_spread":0.2193846275684629,"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."}}