{"id":"W1784048760","doi":"10.7939/r3dn3zx3d","title":"Robot Enhanced interaction and learning for children with profound physical disabilities","year":2011,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Alberta","funders":"","keywords":"Task (project management); Context (archaeology); Human–computer interaction; Psychology; Sequence (biology); Robot; Computer science; Artificial intelligence; Engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00004484471,0.00005976772,0.0001220499,0.00003446244,0.0004015013,0.000001285573,0.0001312889,0.00006906184,0.0002459398],"category_scores_gemma":[0.00006712318,0.00005523414,0.00002524193,0.00004850845,0.0003071299,0.0003447738,0.0001550643,0.0002891769,0.000007772787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001516251,"about_ca_system_score_gemma":0.00004749939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000631908,"about_ca_topic_score_gemma":0.0003109479,"domain_scores_codex":[0.9995264,0.0001420162,0.00006967571,0.0001327917,0.00002862749,0.0001004707],"domain_scores_gemma":[0.9989639,0.0006923177,0.0001032153,0.0001812579,0.00002855851,0.00003073322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007339752,0.0002064465,0.9311115,0.00008486767,0.00008872899,7.490395e-8,0.05349359,0.00000177169,0.0001366301,0.01099035,0.0005405078,0.002611599],"study_design_scores_gemma":[0.0009725593,0.000391859,0.9341756,0.00009226824,0.0000466637,5.702491e-7,0.05941141,0.0001102176,0.000752349,0.000951245,0.002971511,0.0001238237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726579,0.000005527782,0.001230166,0.0004393368,0.00001776791,0.0004097783,0.00000174173,0.00006685886,0.02517097],"genre_scores_gemma":[0.9897327,0.00001249193,0.00348827,0.00003090364,0.00001090375,0.000003225332,0.0000280619,0.000006860806,0.006686536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01848443,"threshold_uncertainty_score":0.3088064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984749941974283,"score_gpt":0.3061164065186085,"score_spread":0.2662689070988657,"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."}}