{"id":"W2322806996","doi":"10.3846/16484142.2016.1156021","title":"An Octopus and a circle at the basis of a framework for the evaluation of sustainable mobility","year":2016,"lang":"en","type":"article","venue":"Transport","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Conceptualization; Sustainability; octopus (software); Sustainable development; Standardization; Representation (politics); Transport engineering; Computer science; Order (exchange); Risk analysis (engineering); Management science; Process management; Engineering; Business; Artificial intelligence; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009435449,0.00005116981,0.00008050171,0.000004005655,0.0001172553,0.000002109792,0.0001128451,0.00003629411,0.0008960384],"category_scores_gemma":[0.00002206435,0.00002541484,0.00004328654,0.00005386423,0.0003624018,0.0001152319,0.00001725158,0.00002408094,0.000001938731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081389,"about_ca_system_score_gemma":0.00001000285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005606035,"about_ca_topic_score_gemma":0.0001887063,"domain_scores_codex":[0.9992901,0.00004422401,0.0001265223,0.0001165542,0.0002987809,0.0001238018],"domain_scores_gemma":[0.9995445,0.0001359084,0.00006155238,0.0002179023,0.000008713458,0.0000314318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001001528,0.0002626545,0.9065402,0.00002430065,0.00003145756,2.90572e-7,0.003214433,0.0001954851,0.01847197,0.0006194931,0.00002779069,0.07051183],"study_design_scores_gemma":[0.0002835479,0.0000849417,0.9786875,0.000005346169,0.00007454649,2.287294e-7,0.0009358857,0.00004826412,0.01130103,0.008415143,0.0001250054,0.00003853004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960617,0.00003921593,0.002591206,0.0003757617,0.00001646859,0.0005996874,0.00002699983,0.000003302805,0.0002856488],"genre_scores_gemma":[0.999508,0.00002666696,0.000150658,0.00004132928,0.000007003288,0.00006205471,0.000001806129,0.000004774988,0.0001977646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07214738,"threshold_uncertainty_score":0.9810992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231479553444116,"score_gpt":0.3187614833385834,"score_spread":0.2956135279941718,"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."}}