{"id":"W3049353713","doi":"","title":"Exploring complementarity of Life Cycle Thinking and Landscape & Urban Planning towards sustainable urban co-design.: Case study : Electric based tricycle technologies for last kilometer delivery","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Complementarity (molecular biology); Urban planning; Architectural engineering; Urban landscape; Environmental planning; Urban design; Computer science; Geography; Engineering; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284535,0.0002093562,0.0001346996,0.0006942539,0.001898605,0.003072406,0.000535414,0.0008300933,0.007062662],"category_scores_gemma":[0.001602283,0.0001803968,0.0003006659,0.001112289,0.001469335,0.001509411,0.001261106,0.0005534524,0.000294274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00336164,"about_ca_system_score_gemma":0.002303794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419023,"about_ca_topic_score_gemma":0.04733527,"domain_scores_codex":[0.9994797,0.0003426753,0.000007647648,0.00003683734,0.00006671348,0.00006649872],"domain_scores_gemma":[0.9986714,0.0009813452,0.00007010078,0.00006077255,0.0001126592,0.0001037591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005586952,0.002433616,0.06097748,0.0006932582,0.00007739406,0.007809776,0.1559392,0.05141524,0.01215827,0.4555511,0.006089558,0.2462964],"study_design_scores_gemma":[0.0001731241,0.001010405,0.05235542,0.0004270154,0.000159021,0.0023027,0.5651287,0.1223311,0.01417427,0.09864593,0.143186,0.0001063504],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9072157,0.0001394684,0.01184988,0.0007743008,0.000009642198,0.00009901258,0.00004966951,0.0000182516,0.07984413],"genre_scores_gemma":[0.9914181,0.00008195262,0.004665056,0.00002613255,0.00000108138,0.00002282852,0.00001441819,0.000007500846,0.003762971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419023,"threshold_uncertainty_score":0.02821529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0577374508529571,"score_gpt":0.2491381652387187,"score_spread":0.1914007143857616,"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."}}