{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009046433,0.00005454483,0.0001023668,0.00004831428,0.0001332971,0.00001547247,0.0004083614,0.00003623275,0.000004797969],"category_scores_gemma":[0.00006229865,0.00003338701,0.00004543865,0.00005104567,0.000041222,0.0003237241,0.00005545783,0.0004050435,0.000005649244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002203679,"about_ca_system_score_gemma":0.000004512848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001729903,"about_ca_topic_score_gemma":0.000001260206,"domain_scores_codex":[0.999474,0.00002358651,0.0002920557,9.371626e-7,0.00007611349,0.0001333434],"domain_scores_gemma":[0.9992588,0.0003564237,0.0001012132,0.0002076172,0.00005083322,0.00002511112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001012553,0.0001835993,0.001742087,0.001222278,0.0006708539,1.045006e-7,0.5886255,0.02643998,0.0003974428,0.01163504,0.2047957,0.1641862],"study_design_scores_gemma":[0.001088027,0.0004060673,0.002645007,0.0001383185,0.0001685858,0.0003876126,0.612826,0.007474612,0.007093336,0.008317672,0.3591484,0.0003063942],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754244,0.0003071437,0.02012198,0.0000988097,0.0003242541,0.00005776417,0.000003363751,0.00005694209,0.003605358],"genre_scores_gemma":[0.9982957,0.0002080176,0.001329335,0.00009964154,0.00005074751,9.867791e-7,7.716184e-7,0.000005987604,0.000008861018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638798,"threshold_uncertainty_score":0.1759735,"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."}}