{"id":"W4242168023","doi":"10.1121/1.3455876.2","title":"10.1121/1.3455876.2","year":2010,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; National Institute on Deafness and Other Communication Disorders; Brigham Young University","keywords":"Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001316511,0.000408247,0.0003314458,0.0002466572,0.0001032909,0.001257467,0.00193534,0.0003540609,0.0003123526],"category_scores_gemma":[0.0002173989,0.0003948568,0.000188403,0.0003964796,0.0000462057,0.0008170896,0.0005469703,0.0006668969,0.005400101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006737821,"about_ca_system_score_gemma":0.0001468947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004571167,"about_ca_topic_score_gemma":0.0000388261,"domain_scores_codex":[0.9979867,0.00001006324,0.0003478229,0.0006329244,0.0005395645,0.0004829165],"domain_scores_gemma":[0.9980587,0.0001911468,0.0001353575,0.0012783,0.0001040758,0.0002323709],"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":[0.000001509602,0.00009115608,0.000001016933,0.00004471962,0.0000272497,0.00002650143,0.00001112718,0.00006886564,0.000006578455,0.001192342,0.994802,0.003726918],"study_design_scores_gemma":[0.00009969032,0.00007058216,0.00005650582,0.00003847271,0.00001064693,0.00005263116,0.000002067138,0.0007774123,0.000005236949,0.0005410814,0.9978639,0.000481717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002222172,0.000194962,0.01132141,0.000177728,0.002465288,0.0001871119,0.9787859,0.0002540542,0.006591309],"genre_scores_gemma":[0.0004737593,0.00002200378,0.002651475,0.0001640321,0.0007557508,0.0000378496,0.9933785,0.00003413395,0.002482488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0145926,"threshold_uncertainty_score":0.9998503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007382055131409842,"score_gpt":0.2249645203645058,"score_spread":0.217582465233096,"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."}}