{"id":"W4388208474","doi":"10.1109/ccece58730.2023.10289000","title":"Modelling the relationship between the objective measures of car sickness","year":2023,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006359599,0.00006327203,0.00009009858,0.00007149043,0.000246036,0.00001500715,0.000170215,0.00005358496,0.0009618922],"category_scores_gemma":[0.000118216,0.0000336516,0.00007210369,0.000327967,0.00007093434,0.00005228766,0.00002004677,0.0001926181,0.001084818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001631618,"about_ca_system_score_gemma":0.00001603335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003585322,"about_ca_topic_score_gemma":0.00002599358,"domain_scores_codex":[0.999079,0.0002903518,0.000236377,0.0001142787,0.0001685375,0.0001114616],"domain_scores_gemma":[0.9973464,0.0021565,0.00008740897,0.0002920496,0.00009915391,0.00001846377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004715062,0.00003277166,0.130094,0.00001018096,0.0002526374,0.000001277132,0.06116261,0.06180209,0.00002235923,0.7185559,0.02587687,0.002142086],"study_design_scores_gemma":[0.0003624586,0.0000285558,0.9226744,0.00001657176,0.0000549147,0.000003623647,0.0218705,0.02162151,0.0001125871,0.02053147,0.01258403,0.0001394144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6536306,0.00003041175,0.05273634,0.003975289,0.0008185178,0.0003533116,0.00001587464,0.0003054638,0.2881342],"genre_scores_gemma":[0.9861909,0.000001091948,0.00001909633,0.00009902765,0.0001117107,0.00003437432,0.000007325348,0.000009286169,0.01352721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7925803,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2298039318367611,"score_gpt":0.4029319336865597,"score_spread":0.1731280018497986,"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."}}