{"id":"W2061777867","doi":"10.1007/s00586-001-0359-5","title":"The Adams classification for cadaveric discograms: inter- and intra-observer error in the clinical setting","year":2001,"lang":"en","type":"article","venue":"European Spine Journal","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Kappa; Cohen's kappa; Cadaveric spasm; Grading (engineering); Statistic; Classification scheme; Reliability (semiconductor); Reproducibility; Physical therapy; Medical physics; Surgery; Statistics; Computer science; Mathematics; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.004977528,0.0000940704,0.0001331334,0.0000403306,0.0002291873,0.00009426544,0.0001342051,0.0000277515,0.00001048654],"category_scores_gemma":[0.001131787,0.00004405716,0.0001312688,0.0001391964,0.0001421642,0.00008579363,0.00002488406,0.0004749559,0.00000754037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002822753,"about_ca_system_score_gemma":0.00003008596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002688139,"about_ca_topic_score_gemma":0.00002426315,"domain_scores_codex":[0.9982609,0.0006890124,0.000560885,0.000143678,0.0001621708,0.0001833237],"domain_scores_gemma":[0.9992498,0.0002302299,0.0001796977,0.0001839545,0.00007428875,0.00008199589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002441722,0.0003040527,0.09251291,0.0001232756,0.00006104745,0.00004308998,0.00179056,0.000005155714,0.001759332,0.0004070246,0.01024777,0.8925016],"study_design_scores_gemma":[0.001154844,0.0005543296,0.9291098,0.0001621811,0.00002556382,0.0001455493,0.002063506,0.001310105,9.948169e-7,0.00009288315,0.06532146,0.00005884508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669348,0.0003844662,0.003921622,0.02557837,0.0003463229,0.0004891075,6.02656e-7,0.00001333382,0.002331387],"genre_scores_gemma":[0.995707,0.0004216178,0.001409663,0.0009161983,0.00100146,0.000006175398,0.000006710528,0.00001912538,0.0005120281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8924428,"threshold_uncertainty_score":0.2063473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06436687721072705,"score_gpt":0.3779763122182995,"score_spread":0.3136094350075725,"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."}}