{"id":"W1569759935","doi":"10.15353/joci.v8i2.3045","title":"Apps For Amsterdam","year":2012,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CONTEST; Enthusiasm; Political science; General partnership; Democracy; Field (mathematics); Library science; Public administration; Media studies; Sociology; Computer science; Law; Politics; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007689844,0.001227015,0.0004808293,0.002728587,0.00190463,0.008092551,0.001024797,0.00322827,0.4505813],"category_scores_gemma":[0.004384393,0.0005157327,0.0007751779,0.001926778,0.0006509359,0.006383673,0.006201013,0.002743637,0.3536657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562453,"about_ca_system_score_gemma":0.001252145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002695185,"about_ca_topic_score_gemma":0.007530052,"domain_scores_codex":[0.9990298,0.0001236874,0.00006909096,0.0001645441,0.0004674561,0.0001455237],"domain_scores_gemma":[0.9984671,0.0003617972,0.0001044544,0.0002268175,0.0003149881,0.0005247733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002628854,0.00002806076,0.0001617317,0.0002362204,0.00000529654,0.0002449372,0.0004138646,0.0000307911,0.0005111853,0.01364981,0.8976807,0.08701123],"study_design_scores_gemma":[0.000002662096,0.000003082592,0.000103812,0.00005672943,0.000001050104,0.00005890276,0.00005375052,0.000009121903,0.00003743795,0.0006096511,0.9990597,0.000004068269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001175668,0.008793302,0.002437325,0.01097236,0.004912491,0.0001467671,0.006209927,0.00818311,0.957169],"genre_scores_gemma":[0.006352256,0.006156509,0.002489982,0.003393106,0.001297157,0.0002456348,0.007117911,0.003072565,0.9698749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4505813,"threshold_uncertainty_score":0.783679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338902241733078,"score_gpt":0.2473063783698564,"score_spread":0.2139173559525256,"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."}}