{"id":"W6955578435","doi":"10.58079/uajf","title":"Open Track \"Turning Things into Assets\", 2016 4S/EASST Conference in Barcelona, 31 Aug. - 3 Sept. 2016","year":2015,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Window (computing); Product (mathematics); Presentation (obstetrics); Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002812611,0.0005684121,0.0007045327,0.0004278609,0.0003129299,0.001028162,0.001456371,0.0003978562,0.002222722],"category_scores_gemma":[0.0006891261,0.0006098632,0.0001173076,0.000840251,0.0001441418,0.0211745,0.0005309354,0.0007544958,0.001956832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006916796,"about_ca_system_score_gemma":0.0005713478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003838065,"about_ca_topic_score_gemma":0.0004571817,"domain_scores_codex":[0.9961194,0.0004761147,0.001077387,0.0008124147,0.0007621189,0.0007525787],"domain_scores_gemma":[0.9975094,0.000342184,0.0002937228,0.0007268644,0.000559386,0.0005684485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004430573,0.0008154968,0.002301445,0.0005333538,0.0003625823,0.0003131532,0.005139806,0.3545133,0.01217146,0.07393589,0.5015577,0.04791271],"study_design_scores_gemma":[0.0171474,0.00076094,0.03576737,0.00392581,0.0002547031,0.0002474854,0.002789015,0.4732122,0.02469219,0.0229621,0.4122537,0.005987105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06652859,0.001198712,0.4705879,0.03774398,0.00995252,0.00587389,0.0005328731,0.00294249,0.404639],"genre_scores_gemma":[0.792973,0.0002654507,0.1868362,0.008550288,0.0009256518,0.0008913875,0.002054805,0.000288102,0.007215103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7264445,"threshold_uncertainty_score":0.9996353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471752116318828,"score_gpt":0.2890442766950946,"score_spread":0.2543267555319064,"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."}}