{"id":"W3194009386","doi":"10.11159/icert21.301","title":"Electric Travelling Planner as a support for promoting of environmental friendly mobility - remarks based on international research project","year":2021,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Transport Canada","funders":"Narodowe Centrum Badań i Rozwoju","keywords":"Planner; Environmentally friendly; Computer science; Operations research; Engineering; Artificial intelligence; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008028353,0.000291479,0.0001091485,0.0006609654,0.0009701586,0.001727081,0.0004415578,0.0007460762,0.01160878],"category_scores_gemma":[0.0009440878,0.00007676524,0.0002002075,0.0008008357,0.0003183982,0.001404762,0.0006263046,0.0004939556,0.0006043594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007983955,"about_ca_system_score_gemma":0.002091252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004968375,"about_ca_topic_score_gemma":0.00671393,"domain_scores_codex":[0.9996886,0.0001570406,0.000009440173,0.00003685471,0.00007050732,0.0000375887],"domain_scores_gemma":[0.9995382,0.00009576668,0.00002342845,0.00002104399,0.0002295632,0.00009191452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007787252,0.00102936,0.02912033,0.000916907,0.00006529401,0.002374999,0.004136352,0.01711549,0.00665366,0.3214595,0.1898809,0.4264685],"study_design_scores_gemma":[0.0001602289,0.0005931169,0.01900037,0.0007586388,0.0003475409,0.0007034308,0.0405366,0.05555952,0.008121623,0.03972533,0.834397,0.00009651337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3480012,0.006723362,0.06857779,0.0708112,0.004603984,0.0006637217,0.0005903652,0.0005941172,0.4994343],"genre_scores_gemma":[0.8702527,0.00515689,0.01369643,0.0009912339,0.0003995808,0.0001282445,0.0002398009,0.000039977,0.1090952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01160878,"threshold_uncertainty_score":0.03883523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814252164073691,"score_gpt":0.3307771037308243,"score_spread":0.3026345820900874,"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."}}