{"id":"W2582263235","doi":"10.1109/icma.2005.1626883","title":"Permanent magnetic system design for the wall-climbing robot","year":2006,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mechanism (biology); Robot; Climbing; Magnet; Computer science; Adhesion; Mechanism design; Mobile robot; Simulation; Engineering; Mechanical engineering; Structural engineering; Materials science; Physics; Artificial intelligence; Mathematics; Composite material","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":[0.0001368573,0.000418829,0.0002421506,0.0003280991,0.0004821987,0.000409506,0.0004998227,0.0004872079,0.004827087],"category_scores_gemma":[0.0002372827,0.0001683045,0.0001898638,0.0001407657,0.0002685573,0.0003168082,0.0002491582,0.0003030046,0.001656151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275815,"about_ca_system_score_gemma":0.0005060565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005731925,"about_ca_topic_score_gemma":0.0008400797,"domain_scores_codex":[0.9998821,0.00001958229,0.000005836073,0.00002204612,0.0000586462,0.00001178681],"domain_scores_gemma":[0.9999135,0.00001032973,0.00001721489,0.000007441762,0.00004312508,0.0000084151],"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":[0.0003359276,0.0001049297,0.001051586,0.001912203,0.00006161047,0.0008990979,0.0004711311,0.09699057,0.3999203,0.1046025,0.01355609,0.3800941],"study_design_scores_gemma":[0.0002961809,0.002667686,0.003672226,0.0002547523,0.0001287041,0.002098239,0.0002321321,0.593344,0.1178625,0.01702441,0.2622799,0.0001393254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01919633,0.00083802,0.9509448,0.0002744319,0.0003336272,0.0001729265,0.00007308898,0.000988934,0.02717787],"genre_scores_gemma":[0.7114438,0.0007821795,0.2621049,0.0001968299,0.0001679976,0.0005453057,0.000155569,0.0000992602,0.02450416],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004827087,"threshold_uncertainty_score":0.01614821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819513914205176,"score_gpt":0.2051621609072563,"score_spread":0.1869670217652046,"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."}}