{"id":"W4225991473","doi":"10.2139/ssrn.4068765","title":"Coordination Control of the Automated Fiber Placement System Using Vision-Based Leader-Follower Approach","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control (management); Computer science; Fiber; Control engineering; Computer vision; Artificial intelligence; Control theory (sociology); Process management; Engineering; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006251006,0.0008996179,0.0009182491,0.0004668579,0.001286234,0.001177622,0.001040158,0.0007732777,0.001574514],"category_scores_gemma":[0.0008326715,0.0003475919,0.0003764188,0.0004931364,0.0007481916,0.0005354217,0.0008679277,0.0006438114,0.0003547934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007682421,"about_ca_system_score_gemma":0.001854296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121926,"about_ca_topic_score_gemma":0.00866277,"domain_scores_codex":[0.9994535,0.00008699365,0.0000182695,0.0002045331,0.000135647,0.0001011125],"domain_scores_gemma":[0.9994215,0.0001107479,0.0001752069,0.00004174727,0.0001857021,0.00006503507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004197933,0.0001300784,0.001111435,0.000111945,0.00007319486,0.000213894,0.0003095799,0.8642775,0.02226427,0.008644514,0.002447069,0.09999661],"study_design_scores_gemma":[0.00002922845,0.0001333422,0.0002727624,0.000004119681,0.00001049658,0.00002289547,0.00001794045,0.9961849,0.001737249,0.001042487,0.000533994,0.00001064157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07254341,0.0002277132,0.9187032,0.0002504693,0.0001559094,0.00009686832,0.00005228306,0.000669921,0.007300257],"genre_scores_gemma":[0.963544,0.00007213251,0.03308942,0.00003508809,0.00004179307,0.00008841974,0.00003321187,0.00001971937,0.003076278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01121926,"threshold_uncertainty_score":0.02230793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008646281727530675,"score_gpt":0.2531242249811451,"score_spread":0.2444779432536144,"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."}}