{"id":"W2120083214","doi":"10.1186/1916-0216-43-6","title":"CO<sub>2</sub> laser versus cold steel margin analysis following endoscopic excision of glottic cancer","year":2014,"lang":"en","type":"article","venue":"Journal of Otolaryngology - Head and Neck Surgery","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Transoral laser microsurgery; Medicine; Artifact (error); Margin (machine learning); Laser; Surgery; Nuclear medicine; Larynx; Laryngeal Neoplasm; Optics","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":[0.003400356,0.000260279,0.0005274103,0.0001788173,0.000162326,0.0003125109,0.0002660377,0.0003953722,0.001231646],"category_scores_gemma":[0.006434346,0.0002030073,0.0004479254,0.0001587202,0.0004787057,0.0003897384,0.000203491,0.0002944637,0.0001896742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002597034,"about_ca_system_score_gemma":0.0003244758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001583456,"about_ca_topic_score_gemma":0.0004166375,"domain_scores_codex":[0.9981882,0.001097345,0.0001858717,0.0002081117,0.0002292086,0.00009127919],"domain_scores_gemma":[0.9932932,0.003665574,0.002078162,0.000351932,0.0002718094,0.0003394249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.6931723,0.003187169,0.2218363,0.0007187234,0.0008571464,0.0001541674,0.0002642345,0.0005111204,0.0188543,0.00006366221,0.0002329088,0.06014796],"study_design_scores_gemma":[0.02312378,0.4441079,0.5095599,0.00009905903,0.001446704,0.0009533172,0.0004096742,0.001571393,0.01751913,0.0001587406,0.001000717,0.00004980274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993782,0.0003342044,0.0001320952,0.00001190214,0.000007996324,0.00004507424,0.0000127278,0.000001711585,0.00007601236],"genre_scores_gemma":[0.9994123,0.0001139574,0.0002978496,0.00002901089,0.00002174384,0.00004529404,0.0000259235,0.000001040453,0.00005271944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003400356,"threshold_uncertainty_score":0.01798302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578535910293833,"score_gpt":0.3029784628742624,"score_spread":0.2771931037713241,"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."}}