{"id":"W6977178492","doi":"10.6084/m9.figshare.7964078.v1","title":"Multidimensional Information model for strategic digital city.pdf","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information system; Strategic information system; Information management; Information technology; Strategic planning; Situational ethics; Management information systems; Soft systems methodology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000004977105,0.00006514635,0.00005595546,0.00003521394,0.00001763449,0.00004841351,0.00006254106,0.00006443047,0.01476417],"category_scores_gemma":[0.00003187565,0.00006216719,0.00003346725,0.00003364988,0.000001486086,0.0004770092,0.00002618002,0.00005082171,0.003394021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000186032,"about_ca_system_score_gemma":0.000009907293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.779568e-7,"about_ca_topic_score_gemma":5.496518e-7,"domain_scores_codex":[0.9997091,3.016482e-7,0.00007782256,0.0000426638,0.00005755218,0.0001125509],"domain_scores_gemma":[0.9998262,0.00002580929,0.00001253322,0.00008754356,0.00003252494,0.0000153798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001006566,0.0000104719,0.00008971526,0.00057782,0.00003516323,6.372054e-7,0.000143673,0.5289888,0.00008645732,0.00173657,0.4625305,0.005790118],"study_design_scores_gemma":[0.0001664206,0.00001288001,0.00006935951,0.00008368244,8.15413e-7,9.32639e-7,0.0000937193,0.9541218,0.0002713951,0.0004845069,0.04459723,0.00009722735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3548823,0.0001291486,0.0009761094,0.00006639083,0.0003735952,0.001275875,0.5719299,0.002721264,0.06764545],"genre_scores_gemma":[0.9401659,5.989559e-7,0.0003509077,0.00002316099,0.0000161982,0.00008439083,0.05903186,0.000007902201,0.0003190801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5852836,"threshold_uncertainty_score":0.9973819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032701001588631,"score_gpt":0.2062456552936515,"score_spread":0.1735446537050205,"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."}}