{"id":"W4406557210","doi":"10.1016/s1876-1143(09)70026-6","title":"10.1016/s1876-1143(09)70026-6","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Physical medicine and rehabilitation; Computer science; Data 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001243419,0.003445507,0.002307633,0.003309655,0.002891181,0.003713764,0.003656141,0.007359507,0.9912466],"category_scores_gemma":[0.002088955,0.001067846,0.00173482,0.002268676,0.002141681,0.0061588,0.004057576,0.003353058,0.9936166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172828,"about_ca_system_score_gemma":0.001399081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004792696,"about_ca_topic_score_gemma":0.0037752,"domain_scores_codex":[0.9991589,0.00005959993,0.00007989565,0.0002802747,0.000207907,0.0002134386],"domain_scores_gemma":[0.9973509,0.0006671086,0.0001638938,0.0002467206,0.0005198086,0.001051575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004969707,0.0003499592,0.001127089,0.0007359237,0.00004242204,0.0003186849,0.0001330665,0.000532038,0.001544694,0.004810631,0.3658284,0.6240801],"study_design_scores_gemma":[0.00009606915,0.0002202737,0.001167481,0.0005091167,0.00002004245,0.0006426812,0.0001669129,0.0002542158,0.0003373077,0.0008053241,0.9957456,0.00003497409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004735402,0.0004628429,0.0005196505,0.0004090076,0.0003118842,0.0001115666,0.0005686852,0.0007599412,0.9963828],"genre_scores_gemma":[0.0006726056,0.000238413,0.0003421366,0.0002568279,0.00009119388,0.00007779559,0.0003379225,0.000159771,0.9978232],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008753359,"threshold_uncertainty_score":0.01248562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003964108750657664,"score_gpt":0.196412750566141,"score_spread":0.1924486418154834,"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."}}