{"id":"W4322727432","doi":"10.2139/ssrn.4367660","title":"Design of a Holder for the Improved Maneuvering of the Concurrent TMS-MRI Setup","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Computer vision","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":[0.001034074,0.001342409,0.0009498156,0.0008249737,0.0006250902,0.0007933722,0.002450568,0.001461472,0.009127729],"category_scores_gemma":[0.001900934,0.0007154622,0.000552237,0.0003488351,0.0006526159,0.001351704,0.001844955,0.001049066,0.003471525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005289521,"about_ca_system_score_gemma":0.001533115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004546547,"about_ca_topic_score_gemma":0.000519141,"domain_scores_codex":[0.9990799,0.00009998307,0.0000886008,0.000278178,0.0003251387,0.0001280799],"domain_scores_gemma":[0.9983979,0.0003293172,0.0003261411,0.000328371,0.0003647356,0.000253536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006823098,0.0001305511,0.001807191,0.0005641269,0.00004837496,0.0006785656,0.0002086635,0.003672446,0.923237,0.006290434,0.002983153,0.05969718],"study_design_scores_gemma":[0.0003130871,0.00332254,0.01070955,0.0001211049,0.0002620246,0.003569324,0.0001974506,0.08156537,0.8135045,0.002351656,0.08379779,0.000285646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03590134,0.0003140229,0.9563115,0.0003827774,0.000553255,0.0007620776,0.000406613,0.002233246,0.003135025],"genre_scores_gemma":[0.3634285,0.0003629584,0.6257544,0.0003663109,0.0002452432,0.001483737,0.000568493,0.0004118623,0.007378463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009127729,"threshold_uncertainty_score":0.03053534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292929560344136,"score_gpt":0.3226191997762217,"score_spread":0.293326243741808,"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."}}