{"id":"W4242716623","doi":"10.1109/mpot.2013.2265511","title":"Table of Contents","year":2013,"lang":"en","type":"article","venue":"IEEE Potentials","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Table (database); Computer science; Database","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":[0.00001966109,0.00004280747,0.00008113589,0.00001949383,0.0000136912,0.00001194805,0.00006958454,0.00002468403,0.0002533486],"category_scores_gemma":[0.000004418618,0.00004120154,0.00002387933,0.00006104718,0.00001167608,0.00004505118,0.000005137681,0.00002410807,0.0002916001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003336489,"about_ca_system_score_gemma":0.000001956295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007628572,"about_ca_topic_score_gemma":0.000001367342,"domain_scores_codex":[0.9996858,0.000002446859,0.0001210921,0.00004659205,0.00005326178,0.00009079221],"domain_scores_gemma":[0.9997791,0.00001211685,0.00001616581,0.0001213063,0.00004117276,0.00003015911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[2.52313e-7,0.00002320695,0.0003380695,0.00002405939,0.00003574126,2.175214e-7,0.00002518209,0.02472046,0.9446468,0.0006579728,0.02758611,0.001941942],"study_design_scores_gemma":[0.0004347028,0.00001773902,0.01589222,0.00003393698,0.00003939704,0.000003166739,0.00004762215,0.04503168,0.9258087,0.004625113,0.007795693,0.0002700274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000168,0.0002479957,0.0898106,0.0001165497,0.000617078,0.000336238,0.00001869473,0.0001958628,0.00864013],"genre_scores_gemma":[0.9983925,0.00002089641,0.001117063,0.00001723657,0.00003555067,0.00003019759,0.000002456053,0.00001047033,0.0003736945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09837559,"threshold_uncertainty_score":0.3748026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143197334981426,"score_gpt":0.2107649744236028,"score_spread":0.1964452409254602,"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."}}