{"id":"W7000620004","doi":"","title":"From GISs to TIS (Territorial Information System) : the 3D technologies for intelligibility and decision making in metropolitan area planning: the case of Grenoble Alpes Metropole","year":2008,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Intelligibility (philosophy); Metis; Information system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002821462,0.0004808224,0.0004173914,0.001843678,0.001523714,0.01142123,0.001081878,0.001796576,0.0187803],"category_scores_gemma":[0.005272176,0.0004598824,0.0006360169,0.002861799,0.005387781,0.007695749,0.003315439,0.001428006,0.001414192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004958545,"about_ca_system_score_gemma":0.003104076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08147127,"about_ca_topic_score_gemma":0.06826856,"domain_scores_codex":[0.9982138,0.001136912,0.00005875889,0.0001077721,0.0003596502,0.0001231475],"domain_scores_gemma":[0.997903,0.001357238,0.00008630316,0.0002341051,0.0002748485,0.0001446214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002816208,0.0001047523,0.01077908,0.000336352,0.00007220347,0.003422124,0.01612791,0.05070982,0.002205941,0.6932215,0.02469377,0.198045],"study_design_scores_gemma":[0.00007541992,0.0001672634,0.01049227,0.0005157153,0.0001058061,0.001687857,0.03555227,0.1241937,0.004237078,0.3744958,0.4483475,0.0001293532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.353466,0.005978188,0.1522877,0.0811676,0.0005809181,0.0003370515,0.001460554,0.001120794,0.4036011],"genre_scores_gemma":[0.9219401,0.002664533,0.04222853,0.0008769399,0.00009855803,0.00007658152,0.0003489823,0.0002331371,0.03153263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08147127,"threshold_uncertainty_score":0.1619941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691007404176116,"score_gpt":0.2460511831632153,"score_spread":0.2291411091214541,"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."}}