{"id":"W2294563413","doi":"10.1007/s11548-015-1337-4","title":"Magnetic resonance imaging compatible remote catheter navigation system with 3 degrees of freedom","year":2015,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Catheter; Computer vision; Servomechanism; Simulation; Artificial intelligence; Control engineering; Medicine; Radiology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002492577,0.00008283113,0.000232437,0.0001543652,0.00001803433,0.00002080295,0.0001304801,0.00003644579,0.000001486921],"category_scores_gemma":[0.000008898711,0.0000671833,0.00005288949,0.00007012715,0.00007571838,0.00008906887,0.00001512233,0.0001091561,8.618222e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004634651,"about_ca_system_score_gemma":0.00003817044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001459092,"about_ca_topic_score_gemma":0.000001788712,"domain_scores_codex":[0.9992731,0.00004095165,0.0003740652,0.00007027437,0.0001591312,0.000082476],"domain_scores_gemma":[0.9991155,0.0002359722,0.0001583785,0.00007539427,0.0003541523,0.00006055714],"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":[0.0002971147,0.0001390385,0.2251167,0.0001184838,0.00047227,0.0005292883,0.0008985677,0.6217962,0.001034939,0.002275239,0.009848641,0.1374735],"study_design_scores_gemma":[0.0006781532,0.00008662475,0.1712242,0.0004992132,0.00003303837,0.006052092,0.00006709987,0.8195882,0.00008783301,0.00007491914,0.001463777,0.0001448438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6676913,0.004163029,0.3265516,0.0001808169,0.001168362,0.00004754265,0.000007113036,0.00003415047,0.0001560315],"genre_scores_gemma":[0.9785085,0.00003642112,0.02117678,0.00001321212,0.0002435728,8.070637e-7,0.000007621928,0.000009313588,0.000003757968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3108172,"threshold_uncertainty_score":0.2739655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629064313538878,"score_gpt":0.2248260194185473,"score_spread":0.2085353762831585,"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."}}