{"id":"W68355442","doi":"","title":"ANTERIOR CERVICAL SURGICAL RETRACTOR DESIGN","year":2014,"lang":"en","type":"article","venue":"Journal of undergraduate research in Alberta","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retractor; Medicine; Orthodontics; Distraction; Surgery; Cervical spine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003678946,0.000124137,0.0003961468,0.0005435874,0.00004747531,0.00008826457,0.0003826745,0.00009987067,0.00004197981],"category_scores_gemma":[0.000839723,0.00009445407,0.0001459375,0.0006764071,0.0001180626,0.0001649383,0.00004024892,0.001249244,0.00007127091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127855,"about_ca_system_score_gemma":0.00006682074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000155895,"about_ca_topic_score_gemma":0.00003937142,"domain_scores_codex":[0.997175,0.0006430995,0.0005980322,0.0001314418,0.0009372685,0.000515134],"domain_scores_gemma":[0.9970072,0.002179761,0.00005967886,0.0002005655,0.0001564337,0.0003963933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001385879,0.003276127,0.08751822,0.002929805,0.002728778,0.01123307,0.001468901,0.1217859,0.0384797,0.03986337,0.170227,0.5191032],"study_design_scores_gemma":[0.003660942,0.000568794,0.001421322,0.001555809,0.0000565659,0.0008951956,0.00007156168,0.8474168,0.002990188,0.07510837,0.06568383,0.0005706329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4336231,0.003859383,0.1410109,0.3892666,0.002248285,0.0005818058,0.000003383882,0.0001610246,0.02924558],"genre_scores_gemma":[0.9971288,0.0009649434,0.001098491,0.00002402357,0.0003511886,0.000001833153,5.419246e-7,0.00002554061,0.0004046134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7256308,"threshold_uncertainty_score":0.5427412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04991527170134816,"score_gpt":0.337516025987877,"score_spread":0.2876007542865289,"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."}}