{"id":"W3153975694","doi":"10.52098/airdj.202114","title":"Viability of Robots in Improving Autistic Student’s Engagement and Happiness When Learning","year":2021,"lang":"en","type":"article","venue":"Artificial Intelligence & Robotics Development Journal","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Happiness; Pace; Psychology; Robot; Space (punctuation); Scale (ratio); Variety (cybernetics); Mathematics education; Artificial intelligence; Computer science; Applied psychology; Social psychology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008432797,0.0002946477,0.00020891,0.0002774505,0.0002426709,0.0005066743,0.0002115049,0.0003370047,0.001601712],"category_scores_gemma":[0.002277074,0.00009725497,0.0002508857,0.00008245996,0.00034341,0.0003092053,0.0008513251,0.000321382,0.0003401705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586727,"about_ca_system_score_gemma":0.0002218187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007121297,"about_ca_topic_score_gemma":0.000926926,"domain_scores_codex":[0.9993941,0.0002364761,0.00004104642,0.00007474543,0.0001595751,0.00009402324],"domain_scores_gemma":[0.9990089,0.0003269369,0.0001448288,0.0000896054,0.0001484463,0.0002813893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007552135,0.009745125,0.4399463,0.0008004402,0.0002008678,0.001119761,0.007741012,0.003254564,0.2634027,0.0008980595,0.001089933,0.2642491],"study_design_scores_gemma":[0.0001460374,0.03257344,0.8739761,0.0001274772,0.0001940799,0.0008609125,0.007263894,0.004844307,0.0741106,0.0005846759,0.005254098,0.00006442697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984836,0.00002760191,0.0003528014,0.00003346887,0.000003303117,0.00001794543,0.00001301591,0.00001297056,0.001055315],"genre_scores_gemma":[0.9979632,0.00004577909,0.001316957,0.0000117234,0.000001776889,0.00003195795,0.00002669749,0.000002473919,0.0005995218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001601712,"threshold_uncertainty_score":0.005358279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07172526362889015,"score_gpt":0.3315203362712921,"score_spread":0.2597950726424019,"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."}}