{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293796,0.001220459,0.0004353804,0.0009942396,0.0004540207,0.0008615342,0.002077675,0.001265342,0.01198788],"category_scores_gemma":[0.001055369,0.000523249,0.0009075129,0.0003059486,0.0005111566,0.0009413636,0.0006979755,0.0005563582,0.004376077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006341578,"about_ca_system_score_gemma":0.001006942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009616649,"about_ca_topic_score_gemma":0.001090909,"domain_scores_codex":[0.9988031,0.00006848423,0.0001238544,0.0002604998,0.0006644464,0.00007959325],"domain_scores_gemma":[0.9993267,0.00009850295,0.00009289234,0.00009066334,0.0003245541,0.00006673756],"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":[0.0004760155,0.0001612977,0.007693005,0.002751594,0.0001258397,0.002635981,0.0003638793,0.009148953,0.2812953,0.008306508,0.01052339,0.6765182],"study_design_scores_gemma":[0.0003359159,0.008746367,0.0352455,0.001198162,0.0008344935,0.09265415,0.0004845158,0.08345696,0.2466793,0.007399833,0.5223682,0.000596618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09603819,0.009840061,0.8264248,0.001351839,0.002345175,0.001300396,0.0009852691,0.00446937,0.05724495],"genre_scores_gemma":[0.5918905,0.004896575,0.3616413,0.0005705777,0.0003312015,0.000713648,0.0009847708,0.0003675784,0.03860396],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01198788,"threshold_uncertainty_score":0.0401035,"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."}}