{"id":"W3090571072","doi":"10.5553/jv/016758502020046003003","title":"Van de gesloten smart city naar een open slimme stad","year":2020,"lang":"en","type":"article","venue":"Justitiële verkenningen","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001330475,0.0002249125,0.0002834373,0.00006101032,0.0001248643,0.000158202,0.0008355886,0.0001757892,0.0004092083],"category_scores_gemma":[0.0001317499,0.0002365727,0.00007360696,0.0002654514,0.00006245325,0.0002670288,0.0004917984,0.0003096841,0.0001889654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155062,"about_ca_system_score_gemma":0.00004193571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002899838,"about_ca_topic_score_gemma":0.00002812517,"domain_scores_codex":[0.9988164,0.00001707458,0.0002202072,0.0002788995,0.0001588823,0.0005085819],"domain_scores_gemma":[0.9994032,0.00004612823,0.00003365308,0.0003305681,0.00004183824,0.0001445921],"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":[0.0002116675,0.0001382618,0.06662585,0.00113996,0.001205136,0.0007312079,0.00774667,0.02698716,0.01671891,0.0109168,0.7648103,0.1027681],"study_design_scores_gemma":[0.0009512968,0.0001986109,0.01599875,0.00007400179,0.0001115827,0.00001513002,0.001780981,0.02318017,0.01080531,0.001208144,0.9448925,0.0007835092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545649,0.002273631,0.00761436,0.00427596,0.0007985763,0.0007353127,0.0002073133,0.004302781,0.1252272],"genre_scores_gemma":[0.9944757,0.0002296218,0.003294819,0.001201366,0.0002350225,0.00005174471,0.00002703034,0.00007196924,0.0004126882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1800822,"threshold_uncertainty_score":0.9647155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951576147900373,"score_gpt":0.2387258443152949,"score_spread":0.1992100828362912,"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."}}