{"id":"W6910547067","doi":"10.48448/rwbk-ke44","title":"Technology Exposure Elicits Increased Acceptance of Autonomous Robots and Avatars","year":2024,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Robot; Pace; Robotics; Human–robot interaction; Autonomous robot","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008689329,0.0005530192,0.0007477742,0.003762628,0.0001039686,0.0001230286,0.001591746,0.0005801131,0.0006967445],"category_scores_gemma":[0.0003931464,0.0005069964,0.00006056973,0.004086611,0.004655486,0.000220625,0.0007746183,0.0006160169,0.002098279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002382652,"about_ca_system_score_gemma":0.001046112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005535918,"about_ca_topic_score_gemma":0.001101631,"domain_scores_codex":[0.9963071,0.00004321289,0.0005654265,0.001432842,0.0008824209,0.0007689393],"domain_scores_gemma":[0.9977674,0.00004567045,0.0005326724,0.001224923,0.0002075879,0.0002217255],"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":[0.00007862367,0.00071857,0.004632459,0.001583494,0.0004657607,0.0003592066,0.000747386,0.0002365764,0.2358669,0.04860989,0.587648,0.1190531],"study_design_scores_gemma":[0.004531982,0.001975286,0.002769828,0.006938127,0.001015533,0.0008755389,0.001777445,0.01577906,0.0468933,0.02839859,0.8828428,0.006202464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04629935,0.05058221,0.001241459,0.001643985,0.003172411,0.003736873,0.002706991,0.007833468,0.8827832],"genre_scores_gemma":[0.6445866,0.0004090047,0.0473538,0.0002653424,0.0005096304,0.000104757,0.0001021042,0.002595327,0.3040734],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5982873,"threshold_uncertainty_score":0.9997382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413692458723632,"score_gpt":0.2825968935783516,"score_spread":0.2684599689911153,"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."}}