{"id":"W7095855605","doi":"","title":"ABSTRACT UNIVERSITY OF LUND CAR SHARING NETWORKS ROLE OF CAR SHARING IN TRANSPORTATION","year":2005,"lang":"en","type":"article","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Sustainable transport; Sustainable development; Car ownership; Greenhouse gas; Car sharing; Sharing economy; Personal mobility","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":[0.0005353097,0.0009590947,0.000766799,0.001363561,0.002481151,0.007397364,0.0006797535,0.001980931,0.2465652],"category_scores_gemma":[0.00167649,0.0003537686,0.0005066507,0.001082161,0.001014337,0.002137813,0.003307532,0.001328869,0.08968604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004614434,"about_ca_system_score_gemma":0.00421912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007317425,"about_ca_topic_score_gemma":0.008567058,"domain_scores_codex":[0.9989101,0.0001563301,0.00007241219,0.000278054,0.0003698826,0.000213262],"domain_scores_gemma":[0.9988508,0.0002406453,0.00009359738,0.00006148742,0.0003527363,0.0004007423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006072251,0.000263127,0.002720347,0.001945233,0.00003246239,0.001470654,0.001639232,0.003447686,0.00346477,0.1340463,0.4474299,0.4029331],"study_design_scores_gemma":[0.000009431104,0.00004872637,0.00104043,0.000564989,0.000007467594,0.0002154648,0.0004281109,0.0002982857,0.001134895,0.004929278,0.9913059,0.0000169412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0179605,0.03200087,0.003260934,0.01949157,0.006459598,0.00009487961,0.002622243,0.0006437314,0.9174657],"genre_scores_gemma":[0.06359667,0.01431082,0.001992544,0.0005029142,0.0005858725,0.00005558725,0.0008226903,0.0001833625,0.9179495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2465652,"threshold_uncertainty_score":0.8248428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00785665859912933,"score_gpt":0.1917290631334535,"score_spread":0.1838724045343242,"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."}}