{"id":"W2302900342","doi":"","title":"Interactive System for Medical Interventions Based on Magnetic Resonance Targeting","year":2011,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Magnetic resonance imaging; Interface (matter); Computer science; Software; Medical imaging; Medicine; Radiology; Operating system; Artificial intelligence","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":[0.0007004741,0.001039564,0.0006340977,0.0008208969,0.000318772,0.00104729,0.001100138,0.001218378,0.04389465],"category_scores_gemma":[0.002015177,0.0002356028,0.0005409693,0.0002439438,0.00025294,0.0008050408,0.001585234,0.0006527901,0.008063662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222515,"about_ca_system_score_gemma":0.0002739292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00052888,"about_ca_topic_score_gemma":0.0004261368,"domain_scores_codex":[0.999499,0.0001343696,0.00004771642,0.00009168033,0.0001783001,0.00004903805],"domain_scores_gemma":[0.9988123,0.0006866408,0.00004694527,0.0001521668,0.0001735332,0.0001284464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003650333,0.0007572407,0.003401839,0.001523582,0.0002222622,0.003323325,0.002371902,0.006200165,0.2479181,0.0112804,0.09315763,0.6261934],"study_design_scores_gemma":[0.0005680211,0.001987504,0.01034409,0.0003840897,0.0004236993,0.007014206,0.0003014537,0.1939197,0.1585747,0.006312715,0.6196914,0.0004783318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0316134,0.000996878,0.8586603,0.0003879651,0.0003534174,0.0006993001,0.001247898,0.08634256,0.01969828],"genre_scores_gemma":[0.3616423,0.001126426,0.557345,0.0012858,0.0004952472,0.002030064,0.003163494,0.004770271,0.06814127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04389465,"threshold_uncertainty_score":0.1468422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051119341581405,"score_gpt":0.2913649707297327,"score_spread":0.2708537773139187,"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."}}