{"id":"W4214896868","doi":"10.1055/s-0042-1744008","title":"Introducing the Nuances of Tool–Tissue Interaction Forces in Hemangioblastoma Surgery","year":2022,"lang":"en","type":"article","venue":"Journal of Neurological Surgery Part B Skull Base","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Dissection (medical); Hemangioblastoma; Task (project management); Resection; Computer science; Lesion; Surgery; Medicine; Medical physics; Psychology; Engineering; Systems engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002246023,0.000182614,0.0006181818,0.0003486448,0.0002432399,0.00004527546,0.0003585208,0.00004443156,0.001094281],"category_scores_gemma":[0.003423548,0.0001214226,0.0004020715,0.0007527868,0.0001487402,0.0003650038,0.0002029085,0.0007594018,0.000006447883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004212747,"about_ca_system_score_gemma":0.00008669099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001455073,"about_ca_topic_score_gemma":0.000006556885,"domain_scores_codex":[0.9964098,0.001016088,0.001178948,0.0003333794,0.0006914025,0.0003703935],"domain_scores_gemma":[0.9925708,0.00619297,0.0008616551,0.0002305666,0.00005842251,0.00008562749],"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":[0.01240108,0.003071534,0.2431983,0.0002107545,0.00006469906,0.009063777,0.001009132,0.08342908,0.5192379,0.0009665022,0.08457385,0.0427734],"study_design_scores_gemma":[0.001761681,0.007062644,0.135154,0.0003353748,0.0001652662,0.01541654,0.0008329928,0.010713,0.4110261,0.002788905,0.4132566,0.001486915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935554,0.000262742,0.00001509551,0.003864899,0.002077261,0.0001148942,0.000009271807,0.00001441446,0.00008598898],"genre_scores_gemma":[0.9973874,0.0002350663,0.000008251151,0.001881712,0.0004197916,0.0000139107,0.000001208577,0.00001329254,0.00003934529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3286827,"threshold_uncertainty_score":0.9998189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448630616875205,"score_gpt":0.2736557849409729,"score_spread":0.2291694787722209,"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."}}