{"id":"W4205398952","doi":"10.4018/ijrat","title":"International Journal of Robotics Applications and Technologies","year":2022,"lang":"en","type":"paratext","venue":"International Journal of Robotics Applications and Technologies","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Robotics; Artificial intelligence; Computer science; Data science; Robot","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003719305,0.000412954,0.0007305635,0.001602644,0.0001469406,0.000359477,0.002298221,0.0005322029,0.00005784807],"category_scores_gemma":[0.000093853,0.0003819912,0.0002083239,0.0004001463,0.0003724814,0.0002428481,0.0006454593,0.001357728,0.00002351896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069273,"about_ca_system_score_gemma":0.0001418574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003780018,"about_ca_topic_score_gemma":0.000001552016,"domain_scores_codex":[0.9970396,0.00002621297,0.00153089,0.000271005,0.0008683864,0.0002639588],"domain_scores_gemma":[0.9964381,0.0002017244,0.00150812,0.0004107205,0.001376393,0.00006491174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003961334,0.0003755903,0.0002705014,0.0003221868,0.003610704,0.0001015578,0.0001622734,0.5875328,0.001939942,0.0342493,0.06542763,0.3059679],"study_design_scores_gemma":[0.0009455577,0.0001973223,0.00004485017,0.0003825944,0.0002653674,0.002376688,0.002774503,0.008892431,0.001032351,0.008816111,0.9736029,0.0006693208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005758128,0.07720479,0.8889731,0.01285155,0.009245195,0.001396529,0.0008195686,0.0009360649,0.007997428],"genre_scores_gemma":[0.4790386,0.3551224,0.1600093,0.00009076768,0.002135699,0.0004890964,0.000327181,0.0003348611,0.002452062],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9081753,"threshold_uncertainty_score":0.9998632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086063642105864,"score_gpt":0.2563587420807128,"score_spread":0.2454981056596542,"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."}}