{"id":"W4391133334","doi":"10.2139/ssrn.4699192","title":"Neural Network-Based Multi-Task Learning to Develop a Posterior Spinal Fusion Surgical Planning Tool for Adolescent Idiopathic Scoliosis","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Idiopathic scoliosis; Spinal fusion; Surgical planning; Task (project management); Scoliosis; Physical medicine and rehabilitation; Medicine; Computer science; Surgery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005162925,0.0007068207,0.0004177632,0.0005595565,0.0002832459,0.0005190666,0.0006599237,0.001064721,0.002565319],"category_scores_gemma":[0.001137063,0.0003312325,0.0006221386,0.0003679051,0.00018143,0.0004268049,0.0006042974,0.0009134118,0.0004709855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005249049,"about_ca_system_score_gemma":0.0007186797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102281,"about_ca_topic_score_gemma":0.01124749,"domain_scores_codex":[0.999845,0.00002564821,0.000009950462,0.00004979589,0.00003901021,0.00003063599],"domain_scores_gemma":[0.9996133,0.0002071486,0.00002920685,0.00001896675,0.0001049307,0.00002640494],"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":[0.0002041641,0.0002386879,0.001947219,0.00008027795,0.00008561451,0.0002492086,0.00008285138,0.5439749,0.01246904,0.001015025,0.002769809,0.4368833],"study_design_scores_gemma":[0.000003000175,0.0000204572,0.0002145299,0.000003266731,0.000005198606,0.00001546005,0.000005099933,0.9980298,0.001276455,0.0002951319,0.0001291162,0.000002456704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1115892,0.0003511376,0.8827242,0.0002934824,0.00007569575,0.0001310337,0.0002540521,0.002405918,0.002175251],"genre_scores_gemma":[0.7136148,0.0001521107,0.2811558,0.0001631307,0.00003853409,0.0001496372,0.000478482,0.0001447076,0.004102848],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0102281,"threshold_uncertainty_score":0.0203371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563207229544417,"score_gpt":0.2773736085534983,"score_spread":0.2617415362580541,"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."}}