{"id":"W4402423742","doi":"10.24908/iqurcp18056","title":"2D Path Following Control of Motor Graders","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Control (management); Psychology; Computer science; Artificial intelligence; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001804571,0.0003547464,0.0004860896,0.000786313,0.0002982436,0.001016138,0.001179105,0.0001749213,0.00003424136],"category_scores_gemma":[0.001283347,0.0003000227,0.0002762438,0.001340704,0.00100919,0.001097526,0.0003293206,0.001081718,0.0001405654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512264,"about_ca_system_score_gemma":0.0004720275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001175933,"about_ca_topic_score_gemma":0.000001707554,"domain_scores_codex":[0.995103,0.0002022877,0.0006068144,0.001147042,0.001801785,0.001139047],"domain_scores_gemma":[0.9975433,0.001255768,0.0001078214,0.0002656085,0.0005152184,0.0003122199],"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":[0.0001152646,0.0001309939,0.0008149279,0.0006744073,0.00009357985,0.0001513422,0.005588455,0.000004093552,0.7618871,0.2182408,0.005436351,0.006862695],"study_design_scores_gemma":[0.001772152,0.001921754,0.000283778,0.003202243,0.00007500925,0.00009689658,0.005316993,0.0536679,0.7095004,0.2061825,0.01685721,0.001123133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380372,0.0005059808,0.01390052,0.03639116,0.001568404,0.001476434,0.0000465708,0.0007605914,0.007313208],"genre_scores_gemma":[0.9976161,0.000277415,0.0002443958,0.0002024082,0.000272698,0.0001089606,0.000001819034,0.00006049835,0.00121572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05957895,"threshold_uncertainty_score":0.9999452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110482422191292,"score_gpt":0.3745585734061161,"score_spread":0.2640761512148241,"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."}}