{"id":"W6930386692","doi":"10.5281/zenodo.11483859","title":"Cutting-Edge Vehicular Simulation Technology: Pioneering Innovations in the Driving Simulation Market","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Identity, Memory, and Therapy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Product (mathematics); Order (exchange); Work (physics); Distribution (mathematics); Identification (biology)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001100161,0.0002433549,0.0002111472,0.001615958,0.0006509077,0.0005775535,0.0009463676,0.000336961,0.0304603],"category_scores_gemma":[0.0004878585,0.000235752,0.00006545843,0.001971101,0.0001300334,0.0001106262,0.0003773094,0.0007282996,0.01123749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459201,"about_ca_system_score_gemma":0.000004068864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003090775,"about_ca_topic_score_gemma":0.000003545814,"domain_scores_codex":[0.9978912,0.0004298114,0.0003722366,0.0005589321,0.0003668485,0.00038094],"domain_scores_gemma":[0.9987335,0.00006116233,0.0001937306,0.0007404282,0.0002293349,0.00004181941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002971091,0.0002525745,0.00004239906,0.000206806,0.0002120152,0.00008311618,0.0037624,0.003822084,0.0001466187,0.01754984,0.9217381,0.05215431],"study_design_scores_gemma":[0.0003476393,0.00006127872,0.0005334117,0.00018467,0.00002941992,0.00002436688,0.0006296549,0.005257116,0.000003423238,0.0009185245,0.9917784,0.0002320843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001917332,0.0007212886,0.008170498,0.0008483436,0.0007724205,0.001114057,0.00008600969,0.001976145,0.9843939],"genre_scores_gemma":[0.7512336,0.00008799583,0.0001325279,0.0002027128,0.0009307346,8.35405e-7,0.001051221,0.008402737,0.2379576],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7493163,"threshold_uncertainty_score":0.9895324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481107821106124,"score_gpt":0.3125315879736471,"score_spread":0.2777205097625859,"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."}}