{"id":"W2057695246","doi":"10.1109/robio.2011.6181440","title":"Stitching path planning using circular needles-tissue interaction model","year":2011,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Image stitching; Motion planning; Computer science; Path (computing); Nonlinear system; Loop (graph theory); Simulation; Robot; Computer vision; Artificial intelligence; Mathematics; Physics","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":[0.0000346532,0.00007731451,0.0000663775,0.00004922101,0.00005662667,0.00002199881,0.00006287703,0.00003611703,0.00005124501],"category_scores_gemma":[0.000003536595,0.00008066984,0.00002076777,0.00007044971,0.00000504092,0.0001287175,0.00001475113,0.00009330209,0.00002241815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003518146,"about_ca_system_score_gemma":0.000005426426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000515942,"about_ca_topic_score_gemma":5.999844e-7,"domain_scores_codex":[0.9996277,0.000002571614,0.0001103191,0.00008833453,0.00005053662,0.0001205389],"domain_scores_gemma":[0.9997949,0.000009059548,0.00001393132,0.0001277566,0.00001314773,0.00004121607],"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":[5.045864e-7,0.000008012478,0.0002104957,0.000008341824,0.00001082605,0.000001554607,0.0009250771,0.9688694,0.0279602,0.001043976,0.00007592919,0.0008856522],"study_design_scores_gemma":[0.00004589324,0.00000273692,0.000215226,0.00001941404,0.00001056629,0.000006131562,0.0002935899,0.9932814,0.005247234,0.0006575501,0.0001148065,0.0001054749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.228057,0.0000379607,0.7562664,0.000002096731,0.0000901868,0.00005358652,7.999336e-7,0.0002156605,0.01527629],"genre_scores_gemma":[0.9381974,0.000003191935,0.06168379,0.00001852231,0.00003978282,0.000005868337,0.000002599868,0.00002224214,0.00002654869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7101405,"threshold_uncertainty_score":0.3289621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09135958380233948,"score_gpt":0.2810527874083061,"score_spread":0.1896932036059666,"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."}}