{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00103901,0.004133419,0.002020818,0.003598385,0.001339488,0.004276866,0.005562081,0.004172823,0.4294678],"category_scores_gemma":[0.003915523,0.001149334,0.001411362,0.006663241,0.0006296794,0.002526567,0.003529206,0.002494325,0.7696627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130094,"about_ca_system_score_gemma":0.001319605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389985,"about_ca_topic_score_gemma":0.0157352,"domain_scores_codex":[0.9988294,0.0001394733,0.0001179995,0.000462389,0.0002509103,0.000199801],"domain_scores_gemma":[0.9991629,0.0001497168,0.00006528654,0.0003099949,0.0001776836,0.0001343843],"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":[0.00005949532,0.00003646082,0.0007553439,0.0003477827,0.0000180096,0.00002515649,0.0000156334,0.0004020069,0.0001226289,0.0002440907,0.9872875,0.01068586],"study_design_scores_gemma":[0.0001512563,0.00002204512,0.002501535,0.0001724296,0.00002065673,0.00009380749,0.00008199117,0.001350639,0.0003007918,0.001212777,0.9940672,0.00002481482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002479706,0.000166709,0.0003830873,0.0002042353,0.0001365346,0.00002927706,0.9922587,0.002534377,0.004038997],"genre_scores_gemma":[0.000597574,0.00013081,0.0005271347,0.00006057215,0.00001796499,0.00007914364,0.9944179,0.0001584568,0.004010344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5705322,"threshold_uncertainty_score":0.813795,"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."}}